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Figure 1. 
Hazard rates for age at onset of DSM-IV drug abuse and dependence.

Hazard rates for age at onset of DSM-IV drug abuse and dependence.

Figure 2. 
Percentage distribution of comorbid psychiatric disorders among those with drug use disorders in the general population and among those seeking drug treatment or help.

Percentage distribution of comorbid psychiatric disorders among those with drug use disorders in the general population and among those seeking drug treatment or help.

eTable 1. Twelve-Month and Lifetime Prevalences of Specific DSM-IV Drug Use Disorders
Twelve-Month and Lifetime Prevalences of Specific DSM-IV Drug Use Disorders
Table 1. Prevalence of 12-Month and Lifetime DSM-IV Drug Use Disorders by Sociodemographic Characteristics
Prevalence of 12-Month and Lifetime DSM-IV Drug Use Disorders by Sociodemographic Characteristics
Table 2. Adjusted Odds Ratios of 12-Month and Lifetime DSM-IV Drug Use Disorders by Sociodemographic Characteristics*
Adjusted Odds Ratios of 12-Month and Lifetime DSM-IV Drug Use Disorders by Sociodemographic Characteristics*
Table 3. Adjusted Odds Ratios of 12-Month DSM-IV Drug Use Disorders and Other Psychiatric Disorders*
Adjusted Odds Ratios of 12-Month DSM-IV Drug Use Disorders and Other Psychiatric Disorders*
eTable 2. Adjusted Odds Ratios of Lifetime DSM-IV Drug Use Disorders and Other Psychiatric Disorders*
Adjusted Odds Ratios of Lifetime DSM-IV Drug Use Disorders and Other Psychiatric Disorders*
eTable 3. Percentage of Respondents With 12-Month and Lifetime Drug Use Disorders Who Received Treatment or Help in Specific Types of Setting
Percentage of Respondents With 12-Month and Lifetime Drug Use Disorders Who Received Treatment or Help in Specific Types of Setting
1.
Harwood  RFountain  DLivermore  G The Economic Costs of Alcohol and Drug Abuse in the United States, 1992. Bethesda, Md National Institute on Alcohol Abuse and Alcoholism and National Institute on Drug Abuse1998;
2.
McKusick  DMark  TLKing  EHarwood  RBuck  JADilonardo  JGenuardi  JS Spending for mental health and substance abuse treatment, 1996.  Health Aff (Millwood) 1998;17147- 157 [published correction appears in Health Aff (Millwood). 1998;17:254]PubMedGoogle ScholarCrossref
3.
National Institute on Drug Abuse, Drug Abuse and Addiction: 25 Years of Discovery to Advance the Health of the People: The Sixth Triennial Report to Congress from the Secretary of Health and Human Services.  Bethesda, Md National Institute on Drug Abuse1999;
4.
Office of National Drug Control Policy, The Economic Costs of Drug Abuse in the United States, 1992-1998.  Washington, DC Executive Office of the President2001;
5.
Degenhardt  LHall  WLynskey  M Alcohol, cannabis and tobacco use among Australians: comparisons of their associations with other drug use and use disorders, affective and anxiety disorders, and psychosis.  Addiction 2001;961603- 1614PubMedGoogle ScholarCrossref
6.
Grant  BF Comorbidity between DSM-IV drug use disorders and major depression: results of a national survey of adults.  J Subst Abuse 1995;7481- 497PubMedGoogle ScholarCrossref
7.
Kessler  RCMcGonagle  KAZhao  SNelson  CBHughes  MEshleman  SWittchen  HUKendler  KS Lifetime and 12-month prevalence of DSM-III-R psychiatric disorders in the United States: results from the National Comorbidity Survey.  Arch Gen Psychiatry 1994;518- 19PubMedGoogle ScholarCrossref
8.
Regier  DAFarmer  MERae  DSLocke  BZKeith  SJJudd  LLGoodwin  FK Comorbidity of mental disorders with alcohol and other drug abuse: results from the Epidemiologic Catchment Area (ECA) Study.  JAMA 1990;2642511- 2518PubMedGoogle ScholarCrossref
9.
Havassy  BEAlvidrov  JOwen  KK Comparison of patients with comorbid psychiatric and substance use disorders: implications for treatment and service delivery.  Am J Psychiatry 2004;161139- 145PubMedGoogle ScholarCrossref
10.
Melartin  TKRytsala  HJLeskela  USLestela-Mielonen  MASokero  PIsemetsa  ET Current comorbidity of psychiatric disorders among DSM-IV major depressive disorder patients in psychiatric care in the Vantaa Depression Study.  J Clin Psychiatry 2002;63126- 134PubMedGoogle ScholarCrossref
11.
Mertens  JRLu  YWParthasarathy  SMoore  CWeisner  CM Medical and psychiatric conditions of alcohol and drug treatment patients in an HMO: comparison with matched controls.  Arch Intern Med 2003;1632511- 2517PubMedGoogle ScholarCrossref
12.
Compton  WMCottler  LBAbdallah  ABPhelps  DLSpitznagel  ELHorton  JC Substance dependence and other psychiatric disorders among drug dependent subjects: race and gender correlates.  Am J Addict 2000;9113- 125PubMedGoogle ScholarCrossref
13.
Weaver  TMadden  PCharles  VStimson  GRenton  ATyrer  PBarnes  TBench  CMiddleton  HWright  NPaterson  SShanahan  WSeivewright  NFord  CComorbidity of Substance Misuse and Mental Illness Collaborative Study Team, Comorbidity of substance misuse and mental illness.  Br J Psychiatry 2003;183304- 313PubMedGoogle ScholarCrossref
14.
O’Brien  CPCharney  DSLewis  LCornish  JWPost  RMWoody  GEZubieta  JKAnthony  JCBlaine  JDBowden  CLCalabrese  JRCarroll  KKosten  TRounsaville  BChildress  AROslin  DWPettinati  HMDavis  MADemartino  RDrake  REFleming  MFFricks  LGlassman  AHLevin  FRNunes  EVJohnson  RLJordan  CKessler  RCLaden  SKRegier  DARenner  JA  JrRies  RKSklar-Blake  TWeisner  C Priority actions to improve the care of persons with co-occurring substance abuse and other mental disorders: a call to action.  Biol Psychiatry 2004;56703- 713PubMedGoogle ScholarCrossref
15.
Kessler  RC The epidemiology of dual diagnosis.  Biol Psychiatry 2004;56730- 737PubMedGoogle ScholarCrossref
16.
Swendsen  JDMerikangas  KR The comorbidity of depression and substance use disorders.  Clin Psychol Rev 2000;20173- 189PubMedGoogle ScholarCrossref
17.
Strakowski  SMDel Bello  P The co-occurrence of bipolar and substance use disorder.  Clin Psychol Rev 2000;20191- 206PubMedGoogle ScholarCrossref
18.
Trull  TJSher  KSMinks-Brown  CDurbin  JBurr  R Borderline personality disorder and substance use disorders: a review and integration.  Clin Psychol Rev 2000;20235- 253PubMedGoogle ScholarCrossref
19.
Dalton  EJCate-Carter  TDMundo  EParikh  SVKennedy  JL Suicide risk in bipolar patients: the role of comorbid substance use disorders.  Bipolar Disord 2003;558- 61PubMedGoogle ScholarCrossref
20.
Johnston  LDO’Malley  PMBachman  JGSchulenberg  JE Monitoring the Future: National Survey Results on Drug Use, 1975-2004. Bethesda, Md National Institute on Drug Abuse;2005;
21.
Substance Abuse and Mental Health Services Administration, Results from the 2004 National Survey on Drug Use and Health: National Findings Rockville, Md Dept of Health and Human Services;2005.;Office of Applied Studies, NSDUH Series H-28, DHHS publication SMA 05-4062
22.
American Psychiatric Association, Diagnostic and Statistical Manual of Mental Disorders (Third Edition Revised).  Washington, DC American Psychiatric Association; 1987;
23.
Grant  BF Prevalence and correlates of alcohol use and DSM-IV alcohol dependence in the United States: results of the National Longitudinal Alcohol Epidemiologic Survey.  J Stud Alcohol 1997;58464- 473PubMedGoogle Scholar
24.
American Psychiatric Association, Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition).  Washington, DC: American Psychiatric Association;1994;
25.
American Psychiatric Association, Diagnostic and Statistical Manual of Mental Disorders (Third Edition). Washington, DC: American Psychiatric Association; 1980;
26.
Bijl  RVRavelli  AZessen  GV Prevalence of psychiatric disorder in the general population: results of the Netherlands Mental Health Survey and Incidence Survey (NEMESIS).  Soc Psychiatry Psychiatr Epidemiol 1998;33587- 595PubMedGoogle ScholarCrossref
27.
Kringlen  ETorgersen  SCramer  B A Norwegian psychiatric epidemiological study.  Am J Psychiatry 2001;1581091- 1098PubMedGoogle ScholarCrossref
28.
Vicente  BKohn  RRioseco  PSaldivia  SABaker  CTorres  S Population prevalence of psychiatric disorders in Chile: 6-month and 1-month rates.  Br J Psychiatry 2004;184299- 305PubMedGoogle ScholarCrossref
29.
Jenkins  RLewis  GBebbington  PBrugha  TFarrell  MGill  BMeltzer  H The National Psychiatric Morbidity Survey of Great Britain: initial findings from the household survey.  Psychol Med 1997;27775- 789PubMedGoogle ScholarCrossref
30.
Andrews  GHenderson  SHall  W Prevalence, comorbidity, disability and service utilization: overview of the Australian National Mental Health Survey.  Br J Psychiatry 2001;178145- 153[published correction appears inBr J Psychiatry2001,179:561-562]PubMedGoogle ScholarCrossref
31.
Grant  BF Prevalence and correlates of drug use and DSM-IV drug dependence in the United States: results of the National Longitudinal Alcohol Epidemiologic Survey.  J Subst Abuse 1996;8195- 210PubMedGoogle ScholarCrossref
32.
Grant  BFMoore  TCShepard  JKaplan  K Source and accuracy statement for wave 1 of the 2001-2002 National Epidemiologic Survey on Alcohol and Related Conditions.  Bethesda, Md: National Institute on Alcohol Abuse and Alcoholism;2003;http://niaaa.census.gov/pdfs/source_and_accuracy_statement.pdfOctober 18, 2006
33.
Grant  BFDawson  DAStinson  FSChou  PSKay  WPickering  R The Alcohol Use Disorder and Associated Disabilities Interview Schedule-IV (AUDADIS-IV): reliability of alcohol consumption, tobacco use, family history of depression and psychiatric diagnostic modules in a general population sample.  Drug Alcohol Depend 2003;717- 16PubMedGoogle ScholarCrossref
34.
Grant  BFDawson  DAHasin  DS The Alcohol Use Disorder and Associated Disabilities Interview Schedule– DSM-IV Version. Bethesda, Md: National Institute on Alcohol Abuse and Alcoholism2001;
35.
Canino  GJBravo  MRamirez  RFebo  VERubio-Stipec  MFernandez  RLHasin  DS The Spanish Alcohol Use Disorder and Associated Disabilities Interview Schedule (AUDADIS): reliability and concordance with clinical diagnoses in a Hispanic population.  J Stud Alcohol 1999;60790- 799PubMedGoogle Scholar
36.
Grant  BFHarford  TCDawson  DAChou  PSPickering  RP The Alcohol Use Disorder and Associated Disabilities Interview Schedule (AUDADIS): reliability of alcohol and drug modules in a general population sample.  Drug Alcohol Depend 1995;3937- 44PubMedGoogle ScholarCrossref
37.
Grant  BFStinson  FSDawson  DAChou  SPDufour  MCCompton  WPickering  RPKaplan  K Prevalence and co-occurrence of substance use disorders and independent mood and anxiety disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions.  Arch Gen Psychiatry 2004;61807- 816PubMedGoogle ScholarCrossref
38.
Hasin  DCarpenter  KMMcCloud  SGrant  BF The Alcohol Use Disorder and Associated Disabilities Interview Schedule (AUDADIS): reliability of alcohol and drug modules in a clinical sample.  Drug Alcohol Depend 1997;44133- 141PubMedGoogle ScholarCrossref
39.
Cottler  LBGrant  BFBlaine  JMavreas  VPull  CHasin  DCompton  WMRubio-Stipec  MMager  D Concordance of DSM-IV alcohol and drug use disorder criteria and diagnoses as measured by AUDADIS-ADR, CIDI and SCAN.  Drug Alcohol Depend 1997;47195- 205PubMedGoogle ScholarCrossref
40.
Chatterji  SSaunders  JBVrasti  RGrant  BFHasin  DMager  D Reliability of the alcohol and drug modules of the Alcohol Use Disorder and Associated Disabilities Interview Schedule–Alcohol/Drug-Revised (AUDADIS-ADR): an international comparison.  Drug Alcohol Depend 1997;47171- 185PubMedGoogle ScholarCrossref
41.
Hasin  DGrant  BFCottler  LBlaine  JTowle  LUstün  BSartorius  N Nosological comparisons of alcohol and drug diagnoses: a multisite, multi-instrument international study.  Drug Alcohol Depend 1997;47217- 226PubMedGoogle ScholarCrossref
42.
Nelson  CBRehm  JUstün  BGrant  BFChatterji  S Factor structure of DSM-IV substance disorder criteria endorsed by alcohol, cannabis, cocaine and opiate users: results from the World Health Organization Reliability and Validity Study.  Addiction 1999;94843- 855PubMedGoogle ScholarCrossref
43.
Pull  CBSaunders  JBMavreas  VCottler  LBGrant  BFHasin  DSBlaine  JMager  DUstün  BT Concordance between ICD-10 alcohol and drug use disorder criteria and diagnoses as measured by the AUDADIS-ADR, CIDI and SCAN: results of a cross-national study.  Drug Alcohol Depend 1997;47207- 216PubMedGoogle ScholarCrossref
44.
Ustün  BCompton  WMager  DBabor  TBaiyewu  OChatterji  SCottler  LGogus  AMavreas  VPeters  LPull  CSaunders  JSmeets  RStipec  MRVrasti  RHasin  DRoom  RVan den Brink  WRegier  DBlaine  JGrant  BFSartorius  N WHO study on the reliability and validity of the alcohol and drug use disorder instruments: overview of methods and results.  Drug Alcohol Depend 1997;47161- 170PubMedGoogle ScholarCrossref
45.
Vrasti  RGrant  BFChatterji  SUstün  BTMager  DOlteanu  IBadoi  M The reliability of the Romanian version of the alcohol module of the WHO Alcohol Use Disorder and Associated Disabilities Interview Schedule–Alcohol/Drug-Revised (AUDADIS-ADR).  Eur Addict Res 1998;4144- 149PubMedGoogle ScholarCrossref
46.
Muthén  BOGrant  BFHasin  DS The dimensionality of alcohol abuse and dependence: factor analysis of DSM-III-R and proposed DSM-IV criteria in the 1988 National Health Interview Survey.  Addiction 1993;881079- 1090PubMedGoogle ScholarCrossref
47.
Hasin  DSMuthén  BGrant  BF The dimensionality of DSM-IV alcohol abuse and dependence: factor analysis in a clinical sample. Vrasti  Red Alcoholism: New Research Perspectives. Munich, Germany: Hogrefe & Hubner;1997:;27-- 39Google Scholar
48.
Hasin  DSMuthén  BWisnicki  KSGrant  BF Validity of the bi-axial dependence concept: a test in the US general population.  Addiction 1994;89573- 579PubMedGoogle ScholarCrossref
49.
Hasin  DPaykin  AEndicott  JGrant  BF The validity of DSM-IV alcohol abuse: drunk drivers versus all others.  J Stud Alcohol 1999;60746- 755PubMedGoogle Scholar
50.
Hasin  DSSchuckit  MAMartin  CSGrant  BFBucholz  KKHelzer  JE The validity of DSM-IV alcohol dependence: what do we know and what do we need to know?  Alcohol Clin Exp Res 2003;27244- 252PubMedGoogle ScholarCrossref
51.
Kessler  RCBerglund  PADemler  OJin  RWalters  EE Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication.  Arch Gen Psychiatry 2005;62593- 602published correction appears in Arch Gen Psychiatry. 2005;62768PubMedGoogle ScholarCrossref
52.
Kessler  RCChiu  WTDemler  OWalters  EE Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication.  Arch Gen Psychiatry 2005;62617- 627[published correction appears in Arch Gen Psychiatry. 2005;62:709]PubMedGoogle ScholarCrossref
53.
Alonso  JAngermeyer  MCBernert  SBruffaerts  RBrugha  TSBryson  Hde Girolamo  GGraaf  RDemyttenaere  KGasquet  IHaro  JMKatz  SJKessler  RCKovess  VLepine  JPOrmel  JPolidori  GRusso  LJVilagut  GAlmansa  JArbabzadeh-Bouchez  SAutonell  JBernal  MBuist-Bouwman  MACodony  MDomingo-Salvany  AFerrer  MJoo  SSMartinez-Alonso  MMatschinger  HMazzi  FMorgan  ZMorosini  PPalacin  CRomera  BTaub  NVollebergh  WAESEMeD/MHEDEA 2000 Investigators, European Study of the Epidemiology of Mental Disorders (ESEMeD) Project, Prevalence of mental disorders in Europe: results from the European Study of the Epidemiology of Mental Disorders (ESEMeD) project.  Acta Psychiatr Scand Suppl 2004; ((420)) 21- 27PubMedGoogle Scholar
54.
Grant  BFCompton  WMCrowley  TJHasin  DSHelzer  JELi  T-KRounsaville  BJVolkow  NDWoody  GE Errors in assessing DSM-IV substance use disorders in Kessler et al [letter].  Arch Gen Psychiatry 2007;64379- 380Google ScholarCrossref
55.
Hasin  DSGrant  BF The co-occurrence of DSM-IV alcohol abuse in DSM-IV alcohol dependence: results of the National Epidemiologic Survey on Alcohol and Related Conditions on heterogeneity that differ by population subgroup.  Arch Gen Psychiatry 2004;61891- 896PubMedGoogle ScholarCrossref
56.
Hasin  DSHatzenbueler  BASmith  SMGrant  BF The co-occurrence of DSM-IV drug abuse in drug dependence: results from the National Epidemiologic Survey on Alcohol and Related Conditions.  Drug Alcohol Depend 2005;80117- 124PubMedGoogle ScholarCrossref
57.
Grant  BFHasin  DSStinson  FSDawson  DAChou  SPRuan  WJPickering  RP Prevalence, correlates, and disability of personality disorders in the United States: results from the National Epidemiologic Survey on Alcohol and Related Conditions.  J Clin Psychiatry 2004;65948- 958PubMedGoogle ScholarCrossref
58.
Grant  BFHasin  DSStinson  FSDawson  DAChou  SPRuan  WJHuang  B Co-occurrence of 12-month mood and anxiety disorders and personality disorders in the US: results from the National Epidemiologic Survey on Alcohol and Related Conditions.  J Psychiatr Res 2005;391- 9PubMedGoogle ScholarCrossref
59.
Compton  WMConway  KPStinson  FSColliver  JDGrant  BF Prevalence and comorbidity of DSM-IV antisocial syndromes and specific drug use disorders in the United States: results from the National Epidemiologic Survey on Alcohol and Related Conditions.  J Clin Psychiatry 2005;66677- 685PubMedGoogle ScholarCrossref
60.
Grant  BFHasin  DSBlanco  CStinson  FSChou  SPGoldstein  RBDawson  DASmith  SSaha  TDHuang  B The epidemiology of social anxiety disorder in the United States: results from the National Epidemiologic Survey on Alcohol and Related Conditions.  J Clin Psychiatry 2005;661351- 1361PubMedGoogle ScholarCrossref
61.
Grant  BFHasin  DSStinson  FSDawson  DAGoldstein  RBSmith  SHuang  BSaha  TD The epidemiology of DSM-IV panic disorder and agoraphobia in the United States: results from the National Epidemiologic Survey on Alcohol and Related Conditions.  J Clin Psychiatry 2006;67363- 374PubMedGoogle ScholarCrossref
62.
Grant  BFHasin  DSStinson  FSDawson  DARuan  WJGoldstein  RBSmith  SMSaha  TDHuang  B Prevalence, correlates, comorbidity and comparative disability of DSM-IV generalized anxiety disorder in the United States: results from the National Epidemiologic Survey on Alcohol and Related Conditions.  Psychol Med 2005;351747- 1759PubMedGoogle ScholarCrossref
63.
Grant  BFStinson  FSHasin  DSDawson  DAChou  SPRuan  WJHuang  B Prevalence, correlates and comorbidity of bipolar I disorder and axis I and II disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions.  J Clin Psychiatry 2005;661205- 1215PubMedGoogle ScholarCrossref
64.
Hasin  DSGoodwin  RDStinson  FSGrant  BF The epidemiology of major depressive disorder: results from the National Epidemiologic Survey on Alcohol and Related Conditions.  Arch Gen Psychiatry 2005;621097- 1106PubMedGoogle ScholarCrossref
65.
Ware  JEKosinski  MTurner-Bowker  DMGandek  B How to Score Version 2 of the SF-12 Health Survey.  Lincoln, RI: Quality Metric;2002;
66.
Lee  ET Statistical Methods for Survival Analysis.  Belmont, Calif: Lifetime Learning Publications;1980;
67.
Research Triangle Institute, Software for Survey Data Analysis (SUDAAN) Version 9.0.  Research Triangle Park, NC: Research Triangle Institute;2004;
68.
Teesson  MBaillie  ALynskey  MManor  BDegenhardt  L Substance use, dependence and treatment seeking in the United States and Australia: a cross-national comparison.  Drug Alcohol Depend 2006;81149- 155PubMedGoogle ScholarCrossref
69.
Warner  LAKessler  RCHughes  MAnthony  JCNelson  CB Prevalence and correlates of drug use and dependence in the United States: results from the National Comorbidity Survey.  Arch Gen Psychiatry 1995;52219- 229PubMedGoogle ScholarCrossref
70.
Gfroerer  JPenne  MPemberton  MFolsom  R Substance abuse treatment need among older adults in 2020: the impact of the aging baby-boom cohort.  Drug Alcohol Depend 2003;69127- 135PubMedGoogle ScholarCrossref
71.
Colliver  JDCompton  WMGfroerer  JCCondon  T Projecting drug use among aging baby boomers in 2020.  Ann Epidemiol 2006;16257- 265PubMedGoogle ScholarCrossref
72.
Compton  WMGrant  BFColliver  JDGlantz  MDStinson  FS Prevalence of marijuana use disorders in the United States: 1991-1992 and 2001-2002.  JAMA 2004;2912114- 2121PubMedGoogle ScholarCrossref
73.
Gibson  DRLeamon  MHFlynn  N Epidemiology and public health consequences of methamphetamine use in California's Central Valley.  J Psychoactive Drugs 2002;34313- 319PubMedGoogle ScholarCrossref
74.
Huang  BDawson  DAStinson  FSHasin  DSRuan  WJSaha  TDSmith  SMGoldstein  RBGrant  BF Prevalence, correlates and comorbidity of nonmedical prescription drug use disorders in the United States: results from the National Epidemiologic Survey on Alcohol and Related Conditions.  J Clin Psychiatry 2006;671062- 1073PubMedGoogle ScholarCrossref
75.
Beals  JNovins  DKWhitesell  NRSpicer  PMitchell  CMManson  SM Prevalence of mental health disorders and utilization of mental health services in two American Indian reservation populations: mental health disparities in a national context.  Am J Psychiatry 2005;1621723- 1732PubMedGoogle ScholarCrossref
76.
Gilder  DAWall  TLEhlers  CL Comorbidity of select anxiety and affective disorders with alcohol dependence in southwest California Indians.  Alcohol Clin Exp Res 2004;281805- 1813PubMedGoogle ScholarCrossref
77.
Crum  RMMuntaner  CEaton  WWAnthony  JC Occupational stress and the risk of alcohol abuse and dependence.  Alcohol Clin Exp Res 1995;19647- 655PubMedGoogle ScholarCrossref
78.
Crum  RMLillie-Blanton  MAnthony  JC Neighborhood environment and opportunity to use cocaine and other drugs in late childhood and early adolescence.  Drug Alcohol Depend 1996;43155- 161PubMedGoogle ScholarCrossref
79.
Crum  RMEnsminger  MERo  MJMcCord  J The association of educational achievement and school dropout with risk of alcoholism: a twenty-five–year prospective study of inner-city children.  J Stud Alcohol 1998;59318- 326PubMedGoogle Scholar
80.
Grant  BFDawson  DA Age of onset of drug use and its association with DSM-IV drug abuse and dependence: results from the National Longitudinal Alcohol Epidemiologic Survey.  J Subst Abuse 1998;10163- 173PubMedGoogle ScholarCrossref
81.
Hanna  EZGrant  BF Parallels to early onset alcohol use in the relationship of early onset smoking with drug use and DSM-IV drug and depressive disorders: findings from the National Longitudinal Alcohol Epidemiologic Survey.  Alcohol Clin Exp Res 1999;23513- 522PubMedGoogle Scholar
82.
Kendler  KSKarkowski  LMNeale  MCPrescott  CA Illicit psychoactive substance use, heavy use, abuse, and dependence in a US population-based sample of male twins.  Arch Gen Psychiatry 2000;57261- 269PubMedGoogle ScholarCrossref
83.
Petronis  KRAnthony  JC Perceived risk of cocaine use and experience with cocaine: do they cluster within US neighborhoods and cities?  Drug Alcohol Depend 2000;57183- 192PubMedGoogle ScholarCrossref
84.
Tsuang  MTLyons  MJHarley  RMXian  HEisen  SGoldberg  JTrue  WRFaraone  SV Genetic and environmental influences on transitions in drug use.  Behav Genet 1999;29473- 479PubMedGoogle ScholarCrossref
85.
Compton  WMThomas  YConway  KPColliver  JD Developments in the epidemiology of drug use and drug use disorders.  Am J Psychiatry 2005;1621494- 1502PubMedGoogle ScholarCrossref
86.
Hicks  BMKrueger  RFIacono  WGMcGue  MPatrick  CJ Family transmission and heritability of externalizing disorders: a twin study.  Arch Gen Psychiatry 2004;61922- 928PubMedGoogle ScholarCrossref
87.
Kendler  KSPrescott  CAMeyers  JNeale  MC The structure of genetic and environmental risk factors for common psychiatric and substance use disorders in men and women.  Arch Gen Psychiatry 2003;60929- 937PubMedGoogle ScholarCrossref
88.
Luo  XKranzler  HRZuo  LWang  SBlumberg  HPGelernter  J CHRM2 gene predisposes to alcohol dependence, drug dependence and affective disorders: results from an extended case-control structured association study.  Hum Mol Genet 2005;142421- 2434PubMedGoogle ScholarCrossref
89.
Grant  BF The influence of comorbid major depression and substance use disorders on alcohol and drug treatment: results of a national survey.  NIDA Res Monogr 1997;1724- 15PubMedGoogle Scholar
90.
Crisp  AHGelder  MGRix  SMeltzer  HIRowlands  OJ Stigmatization of people with mental illness.  Br J Psychiatry 2000;1774- 7PubMedGoogle ScholarCrossref
91.
Room  R Stigma, social inequality and alcohol and drug use.  Drug Alcohol Rev 2005;24143- 155PubMedGoogle ScholarCrossref
92.
Babor  TFKadden  RM Screening and interventions for alcohol and drug problems in medical settings: what works?  J Trauma 2005;59 ((3) (suppl)) S80- S87, S94-S100PubMedGoogle ScholarCrossref
93.
Fucito  LGomes  BMurnion  BHaber  P General practitioners' diagnostic skills and referral practices in managing patients with drug and alcohol-related health problems: implications for medical training and education programmes.  Drug Alcohol Rev 2003;22417- 424PubMedGoogle ScholarCrossref
94.
McLellan  ATMeyers  K Contemporary addiction treatment: a review of systems problems for adults and adolescents.  Biol Psychiatry 2004;56764- 770PubMedGoogle ScholarCrossref
95.
Institute of Medicine, Managing Managed Care: Quality Improvement in Behavioral Health. Washington, DC National Academy Press1997;
96.
McLellan  ATLewis  DCO’Brien  CPKleber  HD Drug dependence, a chronic medical condition: implications for treatment, insurance, and outcomes evaluation.  JAMA 2000;2841689- 1695PubMedGoogle ScholarCrossref
97.
American Society of Addiction Medicine, Principles of Addiction Medicine. 2 New York, NY Harcourt Brace Press1998;
98.
Lowinson  JedRuiz  PedMillman  RBed Substance Abuse: A Comprehensive Textbook. 2nd Baltimore, Md Williams & Wilkins;1992;
99.
National Institute on Drug Abuse, Principles of Drug Addiction Treatment: A Research Based Guide. Bethesda, Md National Institutes of Health NIH publication 99-41801999;
100.
National Institute on Alcohol Abuse and Alcoholism, Helping Patients Who Drink Too Much: A Clinician's Guide. Bethesda, Md: National Institutes of Health;2005;
101.
Carise  DGurel  OMcLellan  ATDugosh  KKendig  C Getting patients the services they need using a computer-assisted system for patient assessment and referral: CASPAR.  Drug Alcohol Depend 2005;80177- 189PubMedGoogle ScholarCrossref
102.
Brauzer  BLefley  HPSteinbook  R A module for training residents in public mental health systems and community resources.  Psychiatr Serv 1996;47192- 194PubMedGoogle Scholar
103.
Karam-Hage  MNerenberg  LBrower  KJ Modifying residents' professional attitudes about substance abuse treatment and training.  Am J Addict 2001;1040- 47PubMedGoogle ScholarCrossref
104.
Hack  MRAdger  H Strategic Plan for Interdisciplinary Faculty Development: Arming the Nation's Health Professional Work Force for a New Approach to Substance Use Disorders. Providence, RI AMERSA;2002;
105.
National Institute on Drug Abuse, Principles of Drug Abuse Treatment for Criminal Justice Populations.  Bethesda, Md National Institutes of Health2006;NIH publication 06-5316
Original Article
May 2007

Prevalence, Correlates, Disability, and Comorbidity of DSM-IV Drug Abuse and Dependence in the United States: Results From the National Epidemiologic Survey on Alcohol and Related Conditions

Author Affiliations

Author Affiliations: Division of Epidemiology, Services, and Prevention Research, National Institute on Drug Abuse (Drs Compton and Thomas), and Laboratory of Epidemiology and Biometry, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism (Drs Stinson and Grant), National Institutes of Health, Department of Health and Human Services, Bethesda, Md.

Arch Gen Psychiatry. 2007;64(5):566-576. doi:10.1001/archpsyc.64.5.566
Abstract

Background  Current and comprehensive information on the epidemiology of DSM-IV 12-month and lifetime drug use disorders in the United States has not been available.

Objectives  To present detailed information on drug abuse and dependence prevalence, correlates, and comorbidity with other Axis I and II disorders.

Design, Setting, and Participants  Face-to-face interviews using the Alcohol Use Disorder and Associated Disabilities Interview Schedule of the National Institute on Alcohol Abuse and Alcoholism in a large representative sample of US adults (N = 43 093).

Main Outcome Measures  Twelve-month and lifetime prevalence of drug abuse and dependence and the associated correlates, treatment rates, disability, and comorbidity with other Axis I and II disorders.

Results  Prevalences of 12-month and lifetime drug abuse (1.4% and 7.7%, respectively) exceeded rates of drug dependence (0.6% and 2.6%, respectively). Rates of abuse and dependence were generally greater among men, Native Americans, respondents aged 18 to 44 years, those of lower socioeconomic status, those residing in the West, and those who were never married or widowed, separated, or divorced (all P<.05). Associations of drug use disorders with other substance use disorders and antisocial personality disorder were diminished but remained strong when we controlled for psychiatric disorders. Dependence associations with most mood disorders and generalized anxiety disorder also remained significant. Lifetime treatment- or help-seeking behavior was uncommon (8.1%, abuse; 37.9%, dependence) and was not associated with sociodemographic characteristics but was associated with psychiatric comorbidity.

Conclusions  Most individuals with drug use disorders have never been treated, and treatment disparities exist among those at high risk, despite substantial disability and comorbidity. Comorbidity of drug use disorders with other substance use disorders and antisocial personality disorder, as well as dependence with mood disorders and generalized anxiety disorder, appears to be due in part to unique factors underlying each pair of these disorders studied. The persistence of low treatment rates despite the availability of effective treatments indicates the need for vigorous educational efforts for the public and professionals.

The abuse of and dependence on illicit substances are widespread among the general population and are associated with substantial societal, personal, and economic costs.1-4 National epidemiologic surveys5-8 and numerous clinical studies9-13 consistently indicate that drug use disorders have strong associations with alcohol use disorders and mood, anxiety, and personality disorders (PDs). Axis I and II comorbidity with drug use disorders has been associated with underachievement, decreased work productivity, poor health, neuropsychological impairment, human immunodeficiency virus infection, hepatitis, social dysfunction, violence, incarceration, poverty, homelessness, a lower probability of recovery, poor treatment outcome, and poor quality of life.14-18 Drug use disorder comorbidity also increases the risk of suicide attempts, especially among individuals with bipolar disorder.19

Although extensive data on drug use in the US population have been available on an ongoing basis for adults and adolescents,20,21 epidemiologic data on the prevalence, correlates, disability, treatment, and comorbidity of drug use disorders among adults are seldom collected. In fact, it has been more than 16 years since such detailed information on drug use disorders in the United States has been published. In one of those studies, the 1990-1992 National Comorbidity Survey,7DSM-III-R22 criteria were used to assess drug use disorders. In another, the 1991-1992 National Longitudinal Alcohol Epidemiologic Survey,23DSM-IV24 criteria were used, but assessments of disorders comorbid with drug use disorders were limited to major depression and dysthymia. Although the National Survey on Drug Use and Health began to collect 12-month but not lifetime prevalence data on DSM-IV drug use disorders in 2000, data on disability and specific psychiatric comorbidity were not collected.21

In view of the seriousness of drug use disorders and the adverse impact of their comorbidity with other psychiatric disorders, there is a pressing need for current, detailed data on the prevalence, correlates, disability, and comorbidity of drug use disorders derived from a single, uniform data source. Furthermore, the need for current information on drug use disorders using DSM-IV criteria is critical because the diagnostic definitions of drug use disorders have changed during successive revisions of the nomenclature, and these changes can influence the prevalence of disorders and their relationships with sociodemographic and clinical correlates, disability, and other psychiatric disorders. Twelve-month rates of drug abuse reported in previous epidemiologic surveys conducted worldwide since the early 1980s have remained relatively stable cross nationally, regardless of whether DSM-III,25DSM-III-R, or DSM-IV definitions were used (0.9%,8 0.3%-0.8%,7,26-29 and 0.9%-1.1%,21,30,31 respectively). However, rates of 12-month drug dependence were somewhat lower when DSM-III criteria were used (1.2%),8 compared with studies using DSM-III-R (0.6%-2.8%)7,26-29 and DSM-IV (0.5%-2.0%)21,30,31 criteria. For lifetime drug abuse, rates were lower for DSM-III (2.6%)8 compared with DSM-III-R (1.5%-8.5%)7,26-29 and DSM-IV (0.8%-7.9%) criteria.21,30,31 In contrast, lifetime rates of DSM-IV drug dependence (0.4%-2.9%)30,31 were lower than those derived using DSM-III (3.5%)8 and DSM-III-R (0.7%-7.5%)7,26-29 criteria. Although these previous surveys contributed important information on drug use disorders during the 1980s and early 1990s, little is known about the epidemiology of drug use disorders since 1992.

The lack of current and comprehensive information on DSM-IV drug use disorders in the United States represents a gap in our knowledge with relevance to prevention, treatment intervention, and economic costs. Accordingly, the present study was designed to address this gap using data from the 2001-2002 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC).32,33 The NESARC assessed DSM-IV alcohol and drug use disorders, nicotine dependence, mood and anxiety disorders, and 7 of the 10 PDs. The sample size (N = 43 093) and high response rate (81.0%) of the NESARC allow for the estimation of 12-month and lifetime prevalence and comorbidity of drug abuse and dependence separately (not aggregated), especially among major sociodemographic subgroups of the population, including those for which detailed information has not been available (eg, Native Americans and Asians). Furthermore, comorbidity of drug abuse or dependence and each specific psychiatric disorder was examined while controlling for other psychiatric disorders. This information, which is necessary for understanding the unique relationship of drug abuse and dependence with other disorders while controlling for the comorbidity of these disorders with each other, has not been addressed in previous research. This study also provides information on disability and age at onset and examines the characteristics of individuals with drug abuse and dependence who seek treatment or help for these disorders.

Methods
Sample

The 2001-2002 NESARC is a representative sample of the adult population of the United States, including Alaska and Hawaii. As described in detail elsewhere,32 the target population was the civilian population, 18 years or older, residing in households and group quarters, including military off-base housing, boarding houses, rooming houses, nontransient hotels and motels, shelters, facilities for housing workers, college quarters, and group homes. Inclusion of the group quarters sampling frame was a strategy designed to increase representation of individuals with drug use disorders in the NESARC sample. Face-to-face interviews were conducted with 43 093 respondents. The NESARC oversampled black and Hispanic subjects and young adults (aged 18-24 years). The overall response rate was 81.0%.

The complex sampling design necessitated adjusting the data to reflect the probability of selection of primary sampling units within strata, selection of housing units within the primary sampling units, and oversampling. Adjustments for nonresponse at the household and person levels were accomplished by equating weights for the responders across predictor variables (ie, age, race or ethnicity, sex, region, poverty level, marital status, and income) with the corresponding weights of both responders and nonresponders, a standard iterative procedure used to minimize nonresponse bias in complex sample surveys. The weighted data were then adjusted to be representative of the US population for a variety of socioeconomic variables.

Substance use disorders

Diagnoses were made according to the criteria of the DSM-IV using the Alcohol Use Disorder and Associated Disabilities Interview Schedule–DSM-IV Version (AUDADIS-IV), a fully structured diagnostic interview designed for use by experienced lay interviewers.34 The AUDADIS-IV separately assessed DSM-IV criteria for nicotine dependence and alcohol- and drug-specific abuse and dependence for the following 10 classes of drugs: sedatives, tranquilizers, opiates (other than heroin), stimulants, hallucinogens, cannabis, cocaine (including crack cocaine), inhalants/solvents, heroin, and other drugs. The withdrawal criterion of the drug dependence diagnoses was also drug specific and measured as a syndrome, requiring the requisite number of positive symptoms as defined in each respective DSM-IV withdrawal category. Drug-specific abuse and dependence diagnoses were aggregated to yield any drug abuse and any drug dependence diagnoses. Presentation of aggregate measures of drug abuse and drug dependence are standard in the field owing to sample size constraints. (See eTable 1 for prevalences of drug-specific disorders.)

Consistent with the DSM-IV,24 lifetime diagnoses of abuse required a respondent to meet at least 1 of the 4 criteria defined for abuse in the 12-month period preceding the interview or before. The AUDADIS-IV dependence diagnoses required the respondent to satisfy at least 3 of the 7 DSM-IV criteria for dependence during the past year or before. Diagnoses of dependence before the past year were required to satisfy the time-clustering criteria defined in the DSM-IV, ie, at least 3 dependence symptoms must have occurred within the same 1-year period. Drug abuse and dependence are independent diagnoses in the DSM-IV, and abuse is not a prerequisite for dependence. Dependence diagnoses preempt diagnoses of abuse for individuals classified with both of these disorders. Thus, following DSM-IV, respondents classified with dependence included those with and without abuse, whereas abuse was reserved for those without dependence diagnoses. Alcohol abuse and dependence and nicotine dependence diagnoses in this report followed the same algorithms.

The good to excellent reliability and validity of the AUDADIS-IV drug use disorder criteria and diagnoses (κ = 0.53-0.79) are well documented in numerous psychometric studies,33,35-38 including clinical reappraisals conducted by psychiatrists, in clinical and general population samples,35,39 and in several countries as part of the World Health Organization/National Institutes of Health International Study on Reliability and Validity.40-45 Reliability and validity33,36-50 of alcohol use disorder and nicotine dependence diagnoses were also good to excellent.

It is important to note that the data presented in this study on DSM-IV drug use disorders will differ from the corresponding data derived from the 2001-2002 US National Comorbidity Survey Replication51,52 and the related World Mental Health surveys53 conducted in other parts of the world. The survey instrument used in the US National Comorbidity Survey Replication, the World Mental Health–Composite International Diagnostic Interview, used drug abuse questions as screens for drug dependence, ie, respondents with no positive abuse symptoms were not asked symptom questions about drug dependence. Because a large proportion of individuals with drug dependence do not have drug abuse, cases of dependence without abuse were missed in the National Comorbidity Survey Replication. Empirical evidence54-56 has shown that the use of this screening method misses 22.4% and 8.8% of current and lifetime DSM-IV dependence cases, respectively (especially among women). Furthermore, the World Mental Health–Composite International Diagnostic Interview does not yield drug-specific abuse or dependence diagnoses unless associated problems were reported for only 1 substance. Because these limitations will alter the relationships between drug dependence and sociodemographic characteristics, disability status, treatment- or help-seeking behavior, and comorbidity, comparisons were not made between the National Comorbidity Survey Replication and related studies and the present study. In contrast, the NESARC AUDADIS-IV provides complete coverage of DSM-IV drug dependence among all individuals who ever used any drugs and also assesses drug-specific abuse and dependence.

Other psychiatric disorders

The AUDADIS-IV assessed 5 DSM-IV anxiety disorders (panic with and without agoraphobia, social phobia, specific phobia, and generalized anxiety) and 4 major mood disorders (dysthymia, major depressive disorder, and bipolar I and II disorders). These disorders also followed DSM-IV criteria, required the clinical significance criterion to be met, and ruled out substance-induced episodes.24 The AUDADIS-IV assessed the following 7 PDs on a lifetime basis: avoidant, dependent, obsessive-compulsive, paranoid, schizoid, histrionic, and antisocial. The DSM-IV PD diagnoses required evaluating long-term patterns of functioning, social/occupational impairment, and exclusion of substance-induced cases, as well as those occurring during the course of related Axis I disorders.55-58 As described in detail in ARCHIVES and elsewhere, the reliability and validity of mood, anxiety, and PDs were fair to good as assessed in clinical and general population samples.57-64 Psychotic disorders were not assessed in the NESARC and rarely are assessed in population surveys owing to their low prevalence and poor reliability and validity of the diagnoses.

Disability and treatment

Disability among respondents with drug use disorders was determined with the 12-item Short-Form Health Survey, version 2 (SF-12v2),65 a reliable and valid impairment measure widely used in population surveys. The SF-12v2 mental impairment scales included the mental component summary, mental health, social functioning (limitations due to emotional problems), and role emotional functioning. Each SF-12v2 norm-based disability score is a continuous measure with a mean of 50 points (meaning an expected value of 50 in the general population) and a standardized range of 0 to 100 points. Lower scores indicate more disability.

Respondents were asked about drug treatment- or help-seeking behavior in the following settings: self-help groups; family/social services; drug detoxification; inpatient ward of a hospital; outpatient clinic; rehabilitation unit; methadone program; emergency department; halfway house; crisis center; employee assistance program; private physician, psychiatrist, psychologist, or social worker; counseling with a member of the clergy; and any other treatment- or help-seeking behavior.

Statistical analysis

Weighted frequencies, cross-tabulations, and means were used to derive 12-month and lifetime estimates of the prevalences of drug abuse and dependence and treatment- or help-seeking behavior among the total sample and sociodemographic subgroups. Odds ratios (ORs), derived from logistic regression analyses, indicated the associations of 12-month and lifetime DSM-IV drug abuse and dependence with sociodemographic factors, treatment- or help-seeking behavior, and comorbid disorders. Associations between drug abuse and dependence and each specific other psychiatric disorder were examined, adjusting first for only sociodemographic factors. Second, we additionally controlled for other psychiatric disorders to assess the unique relationship between drug abuse and dependence and other psychiatric disorders, which, importantly, adjusts for comorbidity of these disorders with each other. The extent of comorbidity (number of comorbid disorders) was also compared between individuals with drug use disorders in the general population and among those seeking treatment or help. Hazard rates, reflecting the risk of onset of drug abuse and dependence at specific ages among the population at risk at those ages, were calculated using standard life-table methods.66 Disability or impairment among respondents with drug use disorders was determined using multiple regression analyses to assess the relationship between 12-month drug abuse and dependence and the 4 SF-12v2 mental disability scores, controlling for sociodemographic characteristics and all other substance use, mood, anxiety, and PDs. All standard errors and 99% confidence intervals were estimated using SUDAAN, version 9.0,67 which adjusts for the NESARC design characteristics.

Results
PREVALENCE AND ORs

The 12-month and lifetime prevalences of drug use disorder were 2.0% and 10.3%, respectively (Table 1). Twelve-month and lifetime prevalences of drug abuse (1.4% and 7.7%, respectively) exceeded the corresponding rates for drug dependence (0.6% and 2.6%, respectively) for the total sample and virtually every sociodemographic subgroup of the population. Table 2 shows the risks of 12-month and lifetime abuse and dependence in population subgroups via adjusted ORs and 99% confidence intervals.

For 12-month disorders, the odds of drug abuse were greater among men, white compared with Hispanic respondents, those in the lowest income category, those residing in the West relative to the Midwest and South, and respondents who were never married or were widowed, separated, or divorced. The odds of dependence were greater among men, Native American compared with white respondents, those in the lowest income and education groups, and respondents who were never married or were widowed, separated, or divorced.

For lifetime abuse and dependence, the odds were higher among men, those residing in the West compared with the Northeast and Midwest, and respondents who were widowed, separated, or divorced, but lower among Asian and Hispanic compared with white respondents. The odds of lifetime abuse were also lower among black relative to white respondents and among those residing in the South. The odds of lifetime dependence were additionally greater among Native Americans, respondents in the 2 lowest income brackets, and respondents who were widowed, separated, or divorced.

The odds of 12-month and lifetime drug abuse and dependence were greater in the 3 youngest age groups relative to the oldest age group. As can be seen in Figure 1, both drug abuse and drug dependence have a similar adolescent/early adult age at onset, peaking at about 19 years, with onsets after 25 years of age quite rare. The mean age at onset of drug abuse (19.9 years) was significantly (P = .04) younger than that of dependence (21.7 years).

Disability

Mean (SE) mental component summary, mental health, social functioning, and role emotional functioning scores on the SF12-v2 for those with 12-month drug abuse were 48.8 (0.54), 48.9 (0.53), 49.3 (0.50), and 48.5 (0.56), respectively, whereas corresponding scores for those with 12-month drug dependence were 41.9 (1.15), 43.7 (0.95), 42.3 (1.10), and 43.7 (1.22), respectively. After adjusting for sociodemographic characteristics and other Axis I and II disorders, drug abuse was associated with lower mental component summary (β = −2.3; P<.001), mental health (β = −1.9; P<.001), social functioning (β = −2.1; P<.001), and role emotional functioning (β = −2.3; P<.001) scores. Drug dependence was highly associated with lower mental component summary (β = −4.3; P<.001), mental health (β = −4.2; P<.001), social functioning (β = −5.1; P<.001), and role emotional functioning (β = −3.6; P<.001) scores. Thus, although respondents with drug abuse and dependence were significantly more disabled than those respondents who did not have these disorders, dependence was clearly more disabling than abuse.

Comorbidity

Comorbidity between DSM-IV abuse and dependence and other psychiatric disorders adjusted for sociodemographic factors is shown in Table 3 for 12-month and in eTable 2) for lifetime disorders. With few exceptions, 12-month and lifetime drug abuse and dependence were positively and significantly related to alcohol use disorders, nicotine dependence, and mood, anxiety, and PDs.

Table 3 also shows the same associations, controlling for sociodemographic factors and all other psychiatric disorders. These ORs are lower than those appearing in other NESARC publications59-64 and other previous epidemiologic surveys5-8,26-31 because they additionally control for the comorbidity of other psychiatric disorders with one another. The reductions in the magnitude and significance of the associations when the confounding effects of other psychiatric disorders were controlled for were striking. Although drug abuse remained highly and significantly associated with other substance use disorders and antisocial PD, there were no other significant associations observed between drug abuse and mood, anxiety, or PDs. The only exception was the significant but weak association between drug abuse and major depressive disorder and negative associations with paranoid and histrionic PDs on a lifetime basis. Twelve-month drug dependence remained positively and significantly related to substance use disorders and each specific mood disorder (except bipolar II disorder), generalized anxiety, and antisocial PD. Lifetime drug dependence was also associated with panic with and without agoraphobia.

Treatment-or help-seeking behavior

Twelve-month treatment rates of drug abuse and dependence were 6.1% and 30.7%, respectively, and corresponding lifetime treatment rates were 8.1% for abuse and 37.9% for dependence. Mean ages at onset of first treatment for drug abuse and dependence were 26.7 and 27.2 years, respectively (P = .24). However, treatment rates increased significantly (P<.01) compared with treatment rates 10 years earlier, when 4.1% of respondents with 12-month abuse, 19.5% with 12-month dependence, 9.2% with lifetime abuse, and 30.1% with lifetime dependence reported having sought treatment.23

Among those with 12-month drug abuse, 2.3% received treatment from physicians or other health care professionals; 2.0%, from self-help groups; 1.3% to 1.6%, from detoxification units, outpatient clinics, rehabilitation programs, and inpatient facilities; and 0.1% to 0.4%, from other treatment sources (eTable 3). Of those with 12-month dependence, 19.5% and 18.8% received treatment from physicians or other health care professionals and 12-step programs, respectively, with lower treatment rates for detoxification units, outpatient and inpatient facilities, and rehabilitation programs (10.0%-14.7%). Respondents with lifetime drug use disorder showed similar patterns of treatment- or help-seeking behavior by setting.

None of the sociodemographic characteristics predicted treatment for 12-month DSM-IV drug abuse and dependence. The odds of lifetime treatment for drug abuse and dependence were significantly (P<.01) greater, however, among respondents who were widowed, separated, or divorced (ORs, 1.9 and 1.8, respectively) and in the lowest income bracket (ORs, 1.9 and 2.1, respectively). Although few sociodemographic characteristics were associated with treatment- or help-seeking behavior, comorbid psychiatric disorders were strongly associated. Comorbidity was greater among those with a drug use disorder who had sought treatment or help compared with respondents with drug use disorders in the general population (Figure 2).

Comment

Our results indicate that in 2001-2002, 2.0% of adult Americans experienced a drug use disorder in the preceding 12 months (1.4%, abuse; 0.6%, dependence), whereas 10.3% developed a drug use disorder at some time during their lives (7.7%, abuse; 2.6%, dependence). Drug abuse and dependence were associated with significant disability and early onset. Thus, drug use disorders continue to be a widespread and substantial public health problem in the United States.

Rates of drug abuse and dependence were significantly greater among men than among women, a finding consistent with previous epidemiologic surveys.5,7,8,21,23,26-31 Age was significantly and inversely related to 12-month drug abuse and dependence, a finding also observed in earlier epidemiologic studies.21,22,68,69 However, the lifetime rates and odds among individuals in the 2 youngest age groups were nearly identical. These results indicate a potential for increases in rates for older cohorts as the generation X cohort (those aged 30 to 44 years) ages.70,71 The equally high rates among the youngest NESARC cohort who went through adolescence between 1985 and 2001 may in part be due to the rising rates of marijuana72 and methamphetamine73,74 use disorders observed between the 1991-1992 and 2001-2002 study periods, possibly reflecting the increased potency of each of these drugs during that decade. The near equivalence of lifetime rates between these 2 cohorts, despite the fact that individuals in the youngest age group have had shorter durations of these conditions, portends a potential epidemic in the youngest NESARC cohort. This study also found that onsets of drug abuse and dependence were typically during late adolescence or early adulthood. The implications are that adolescence is a particularly vulnerable period for the onset of drug use disorders and should be a target for etiologic and prevention research.

Rates of drug use disorders among Native Americans were not reported in national surveys before 2001,21 obscuring the higher rates of drug abuse and dependence in this group. This finding is consistent with those of regional studies of Native Americans.75,76 The 12-month rates of drug abuse and dependence among white respondents did not significantly differ from those of Asian or black respondents. However, that drug abuse and dependence among these minority subgroups may be increasing is reflected in their significantly lower rates compared with white respondents on a lifetime basis, relative to the lack of such differences in the 12-month rates. Although these results are suggestive of changes over time among these minority groups, this issue would best be addressed within a longitudinal framework.

Consistent with the findings of previous surveys,21,23,68,69 prevalences of DSM-IV 12-month drug abuse and dependence were generally greater among individuals with lower socioeconomic status, in terms of lower education or income levels, and among those residing in the West. The long-established Mexico-based polydrug trafficking organizations could in large part be responsible for the increased rates in the West relative to other regions of the country. Further detailed analyses of the NESARC and other similar data are needed to examine the reasons for these sociodemographic differentials within the context of drug availability, neighborhood environments, psychiatric comorbidity, and genetic predisposition toward both drug taking and drug abuse and dependence.77-85

A new finding in this study is the importance of controlling for other psychiatric disorders (which are highly comorbid with each other) when examining associations between drug use disorders and specific psychiatric disorders. Consistent with the results of previous epidemiologic surveys,6-8,58-62,68,69 strong and significant associations were found between drug abuse and dependence and other Axis I and II disorders when we controlled for sociodemographic characteristics. To understand this comorbidity, however, we examined the unique relationships of other specific psychiatric disorders with drug use disorders, additionally controlling for the confounding effects of the comorbidity of other psychiatric disorders. Associations between drug abuse and dependence and other substance use disorders were reduced but remained strong, as were associations between drug dependence and mood and generalized anxiety disorders. Consistent with results from twin and genetic studies,86-88 the decreased magnitudes of these associations suggest that common factors may underlie these associations. Consistent with this genetically informed research, associations also remained strong, suggesting that unique factors underlie these specific drug use disorders. Taken together, these findings highlight the importance of continued research on common and specific factors underlying the comorbidity of drug abuse and dependence and these disorders.

Treatment rates for drug use disorders in the 2001-2002 compared with the 1991-1992 period89 showed modest increases for drug abuse and dependence. Nevertheless, lifetime treatment rates for drug use disorders (abuse, 8.1%; dependence, 37.9%) are substantially lower than corresponding treatment rates of other major psychiatric disorders, eg, major depressive disorder (60%),64 bipolar I disorder (60%),63 panic disorder with agoraphobia (65%),61 and generalized anxiety disorder (50%).62 The lack of more significant progress in treatment for drug use disorders has been attributed to stigma,90,91 clinical lack of knowledge and uncertainty regarding screening,92,93 and insufficient organizational support.94 There is also concern by the public, including those with drug use disorders, regarding the effectiveness and worth of available drug treatment.94

Clearly, there is a need for a national public educational campaign to destigmatize drug use disorders and approaches to educate physicians and the public about treatment for drug use disorders. Dissemination of information on recent advancements in drug abuse treatment,95-98 including manual-driven, empirically validated treatment approaches to reduce the use of a variety of drugs (eg, motivational enhancement, 12-step, and/or cognitive-behavioral therapies) and new medications to combat drug craving and withdrawal symptoms of some substances (eg, heroin and cocaine), is required.92,99

The most common treatment settings for individuals with drug use disorders included private physicians and other health care professionals, a finding that underscores the continued importance of the critical detection and referral roles of primary care physicians in the treatment of these disorders. Future research efforts focused in primary care settings on the development of instruments to screen, identify, and refer probable abuse and dependence in primary care settings, similar to the National Institute on Alcohol Abuse and Alcoholism guide to the identification of patients with alcohol use disorders,100 appear warranted, as do efforts to computerize assessment and referral processes.101 Because not all individuals with drug problems (eg, some individuals with drug abuse) require formal treatment, skills training in motivational interviewing and brief interventions should also become a standard in clinical training curricula. The core features of these psychosocial interventions apply across the full range of drug use disorders, with modifications unique to particular categories of drugs.102-104 Furthermore, validated screening instruments and training are also needed for agencies in key positions to screen, assess, and refer those with drug use disorders (eg, criminal justice and welfare) by virtue of the high frequency of these disorders in their populations.94,105

Limitations of this study include its cross-sectional nature, and several issues addressed herein would best be examined in a longitudinal context. The wave 2 NESARC, a 3-year follow-up of participants in this wave 1 survey, was designed to address this limitation and to provide a strong platform to further investigate the stability of the observed relationships in the general population. Although test-retest reliability and validation through clinical reappraisal studies conducted by physicians speak to the reliability and validity of the drug use disorder diagnoses presented herein, some degree of underreporting of illicit drug use and symptoms is likely in all surveys of the general population when self-report assessment instruments are used. Furthermore, general population surveys may fail to capture all individuals with drug use disorders because these individuals are less likely to live in households, the exclusive sample frame of most general population surveys. However, as previously discussed, the NESARC sampled from households and group quarters (eg, shelters and group homes), a strategy designed to increase the representation of individuals with drug use disorders in the sample. Based on these considerations of potential underreporting and underrepresentation of individuals with drug use disorders, NESARC estimates of prevalence, risk, and comorbidity are likely to be conservative.

In summary, the NESARC has shown that DSM-IV drug abuse and dependence are prevalent, highly disabling disorders that often go untreated. Drug use disorders, especially drug dependence, are highly comorbid, highlighting the need for comprehensive assessment and treatment of comorbid disorders. The study identified population subgroups at particular risk and generated many findings that can lead to further hypothesis-driven investigations. The adolescent onset of drug abuse and dependence revealed critical windows of opportunity for prevention efforts. The results of this study indicate that immediate action must be taken to educate physicians, the public, and policy makers about drug use disorders and their treatment and to develop programs to destigmatize the disorders, thereby reducing the personal suffering and adverse societal impact of drug use disorders in the United States.

Correspondence: Bridget F. Grant, PhD, PhD, Laboratory of Epidemiology and Biometry, Room 3077, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Mailstop 9304, 5635 Fishers Ln, Bethesda, MD 20892-9304 (bgrant@willco.niaaa.nih.gov).

Submitted for Publication: May 10, 2006; final revision received August 25, 2006; accepted October 6, 2006.

Financial Disclosure: None reported.

Funding/Support: This study was supported in part by the Intramural Program of the National Institutes of Health, National Institute on Alcohol Abuse and Alcoholism. The NESARC is funded by the National Institute on Alcohol Abuse and Alcoholism, with supplemental support from the National Institute on Drug Abuse.

Disclaimer: The views and opinions expressed in this report are those of the authors and should not be construed to represent the views of any of the sponsoring organizations, agencies, or the US government.

Additional Information:eTable 1, eTable 2, and eTable 3 are available.

References
1.
Harwood  RFountain  DLivermore  G The Economic Costs of Alcohol and Drug Abuse in the United States, 1992. Bethesda, Md National Institute on Alcohol Abuse and Alcoholism and National Institute on Drug Abuse1998;
2.
McKusick  DMark  TLKing  EHarwood  RBuck  JADilonardo  JGenuardi  JS Spending for mental health and substance abuse treatment, 1996.  Health Aff (Millwood) 1998;17147- 157 [published correction appears in Health Aff (Millwood). 1998;17:254]PubMedGoogle ScholarCrossref
3.
National Institute on Drug Abuse, Drug Abuse and Addiction: 25 Years of Discovery to Advance the Health of the People: The Sixth Triennial Report to Congress from the Secretary of Health and Human Services.  Bethesda, Md National Institute on Drug Abuse1999;
4.
Office of National Drug Control Policy, The Economic Costs of Drug Abuse in the United States, 1992-1998.  Washington, DC Executive Office of the President2001;
5.
Degenhardt  LHall  WLynskey  M Alcohol, cannabis and tobacco use among Australians: comparisons of their associations with other drug use and use disorders, affective and anxiety disorders, and psychosis.  Addiction 2001;961603- 1614PubMedGoogle ScholarCrossref
6.
Grant  BF Comorbidity between DSM-IV drug use disorders and major depression: results of a national survey of adults.  J Subst Abuse 1995;7481- 497PubMedGoogle ScholarCrossref
7.
Kessler  RCMcGonagle  KAZhao  SNelson  CBHughes  MEshleman  SWittchen  HUKendler  KS Lifetime and 12-month prevalence of DSM-III-R psychiatric disorders in the United States: results from the National Comorbidity Survey.  Arch Gen Psychiatry 1994;518- 19PubMedGoogle ScholarCrossref
8.
Regier  DAFarmer  MERae  DSLocke  BZKeith  SJJudd  LLGoodwin  FK Comorbidity of mental disorders with alcohol and other drug abuse: results from the Epidemiologic Catchment Area (ECA) Study.  JAMA 1990;2642511- 2518PubMedGoogle ScholarCrossref
9.
Havassy  BEAlvidrov  JOwen  KK Comparison of patients with comorbid psychiatric and substance use disorders: implications for treatment and service delivery.  Am J Psychiatry 2004;161139- 145PubMedGoogle ScholarCrossref
10.
Melartin  TKRytsala  HJLeskela  USLestela-Mielonen  MASokero  PIsemetsa  ET Current comorbidity of psychiatric disorders among DSM-IV major depressive disorder patients in psychiatric care in the Vantaa Depression Study.  J Clin Psychiatry 2002;63126- 134PubMedGoogle ScholarCrossref
11.
Mertens  JRLu  YWParthasarathy  SMoore  CWeisner  CM Medical and psychiatric conditions of alcohol and drug treatment patients in an HMO: comparison with matched controls.  Arch Intern Med 2003;1632511- 2517PubMedGoogle ScholarCrossref
12.
Compton  WMCottler  LBAbdallah  ABPhelps  DLSpitznagel  ELHorton  JC Substance dependence and other psychiatric disorders among drug dependent subjects: race and gender correlates.  Am J Addict 2000;9113- 125PubMedGoogle ScholarCrossref
13.
Weaver  TMadden  PCharles  VStimson  GRenton  ATyrer  PBarnes  TBench  CMiddleton  HWright  NPaterson  SShanahan  WSeivewright  NFord  CComorbidity of Substance Misuse and Mental Illness Collaborative Study Team, Comorbidity of substance misuse and mental illness.  Br J Psychiatry 2003;183304- 313PubMedGoogle ScholarCrossref
14.
O’Brien  CPCharney  DSLewis  LCornish  JWPost  RMWoody  GEZubieta  JKAnthony  JCBlaine  JDBowden  CLCalabrese  JRCarroll  KKosten  TRounsaville  BChildress  AROslin  DWPettinati  HMDavis  MADemartino  RDrake  REFleming  MFFricks  LGlassman  AHLevin  FRNunes  EVJohnson  RLJordan  CKessler  RCLaden  SKRegier  DARenner  JA  JrRies  RKSklar-Blake  TWeisner  C Priority actions to improve the care of persons with co-occurring substance abuse and other mental disorders: a call to action.  Biol Psychiatry 2004;56703- 713PubMedGoogle ScholarCrossref
15.
Kessler  RC The epidemiology of dual diagnosis.  Biol Psychiatry 2004;56730- 737PubMedGoogle ScholarCrossref
16.
Swendsen  JDMerikangas  KR The comorbidity of depression and substance use disorders.  Clin Psychol Rev 2000;20173- 189PubMedGoogle ScholarCrossref
17.
Strakowski  SMDel Bello  P The co-occurrence of bipolar and substance use disorder.  Clin Psychol Rev 2000;20191- 206PubMedGoogle ScholarCrossref
18.
Trull  TJSher  KSMinks-Brown  CDurbin  JBurr  R Borderline personality disorder and substance use disorders: a review and integration.  Clin Psychol Rev 2000;20235- 253PubMedGoogle ScholarCrossref
19.
Dalton  EJCate-Carter  TDMundo  EParikh  SVKennedy  JL Suicide risk in bipolar patients: the role of comorbid substance use disorders.  Bipolar Disord 2003;558- 61PubMedGoogle ScholarCrossref
20.
Johnston  LDO’Malley  PMBachman  JGSchulenberg  JE Monitoring the Future: National Survey Results on Drug Use, 1975-2004. Bethesda, Md National Institute on Drug Abuse;2005;
21.
Substance Abuse and Mental Health Services Administration, Results from the 2004 National Survey on Drug Use and Health: National Findings Rockville, Md Dept of Health and Human Services;2005.;Office of Applied Studies, NSDUH Series H-28, DHHS publication SMA 05-4062
22.
American Psychiatric Association, Diagnostic and Statistical Manual of Mental Disorders (Third Edition Revised).  Washington, DC American Psychiatric Association; 1987;
23.
Grant  BF Prevalence and correlates of alcohol use and DSM-IV alcohol dependence in the United States: results of the National Longitudinal Alcohol Epidemiologic Survey.  J Stud Alcohol 1997;58464- 473PubMedGoogle Scholar
24.
American Psychiatric Association, Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition).  Washington, DC: American Psychiatric Association;1994;
25.
American Psychiatric Association, Diagnostic and Statistical Manual of Mental Disorders (Third Edition). Washington, DC: American Psychiatric Association; 1980;
26.
Bijl  RVRavelli  AZessen  GV Prevalence of psychiatric disorder in the general population: results of the Netherlands Mental Health Survey and Incidence Survey (NEMESIS).  Soc Psychiatry Psychiatr Epidemiol 1998;33587- 595PubMedGoogle ScholarCrossref
27.
Kringlen  ETorgersen  SCramer  B A Norwegian psychiatric epidemiological study.  Am J Psychiatry 2001;1581091- 1098PubMedGoogle ScholarCrossref
28.
Vicente  BKohn  RRioseco  PSaldivia  SABaker  CTorres  S Population prevalence of psychiatric disorders in Chile: 6-month and 1-month rates.  Br J Psychiatry 2004;184299- 305PubMedGoogle ScholarCrossref
29.
Jenkins  RLewis  GBebbington  PBrugha  TFarrell  MGill  BMeltzer  H The National Psychiatric Morbidity Survey of Great Britain: initial findings from the household survey.  Psychol Med 1997;27775- 789PubMedGoogle ScholarCrossref
30.
Andrews  GHenderson  SHall  W Prevalence, comorbidity, disability and service utilization: overview of the Australian National Mental Health Survey.  Br J Psychiatry 2001;178145- 153[published correction appears inBr J Psychiatry2001,179:561-562]PubMedGoogle ScholarCrossref
31.
Grant  BF Prevalence and correlates of drug use and DSM-IV drug dependence in the United States: results of the National Longitudinal Alcohol Epidemiologic Survey.  J Subst Abuse 1996;8195- 210PubMedGoogle ScholarCrossref
32.
Grant  BFMoore  TCShepard  JKaplan  K Source and accuracy statement for wave 1 of the 2001-2002 National Epidemiologic Survey on Alcohol and Related Conditions.  Bethesda, Md: National Institute on Alcohol Abuse and Alcoholism;2003;http://niaaa.census.gov/pdfs/source_and_accuracy_statement.pdfOctober 18, 2006
33.
Grant  BFDawson  DAStinson  FSChou  PSKay  WPickering  R The Alcohol Use Disorder and Associated Disabilities Interview Schedule-IV (AUDADIS-IV): reliability of alcohol consumption, tobacco use, family history of depression and psychiatric diagnostic modules in a general population sample.  Drug Alcohol Depend 2003;717- 16PubMedGoogle ScholarCrossref
34.
Grant  BFDawson  DAHasin  DS The Alcohol Use Disorder and Associated Disabilities Interview Schedule– DSM-IV Version. Bethesda, Md: National Institute on Alcohol Abuse and Alcoholism2001;
35.
Canino  GJBravo  MRamirez  RFebo  VERubio-Stipec  MFernandez  RLHasin  DS The Spanish Alcohol Use Disorder and Associated Disabilities Interview Schedule (AUDADIS): reliability and concordance with clinical diagnoses in a Hispanic population.  J Stud Alcohol 1999;60790- 799PubMedGoogle Scholar
36.
Grant  BFHarford  TCDawson  DAChou  PSPickering  RP The Alcohol Use Disorder and Associated Disabilities Interview Schedule (AUDADIS): reliability of alcohol and drug modules in a general population sample.  Drug Alcohol Depend 1995;3937- 44PubMedGoogle ScholarCrossref
37.
Grant  BFStinson  FSDawson  DAChou  SPDufour  MCCompton  WPickering  RPKaplan  K Prevalence and co-occurrence of substance use disorders and independent mood and anxiety disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions.  Arch Gen Psychiatry 2004;61807- 816PubMedGoogle ScholarCrossref
38.
Hasin  DCarpenter  KMMcCloud  SGrant  BF The Alcohol Use Disorder and Associated Disabilities Interview Schedule (AUDADIS): reliability of alcohol and drug modules in a clinical sample.  Drug Alcohol Depend 1997;44133- 141PubMedGoogle ScholarCrossref
39.
Cottler  LBGrant  BFBlaine  JMavreas  VPull  CHasin  DCompton  WMRubio-Stipec  MMager  D Concordance of DSM-IV alcohol and drug use disorder criteria and diagnoses as measured by AUDADIS-ADR, CIDI and SCAN.  Drug Alcohol Depend 1997;47195- 205PubMedGoogle ScholarCrossref
40.
Chatterji  SSaunders  JBVrasti  RGrant  BFHasin  DMager  D Reliability of the alcohol and drug modules of the Alcohol Use Disorder and Associated Disabilities Interview Schedule–Alcohol/Drug-Revised (AUDADIS-ADR): an international comparison.  Drug Alcohol Depend 1997;47171- 185PubMedGoogle ScholarCrossref
41.
Hasin  DGrant  BFCottler  LBlaine  JTowle  LUstün  BSartorius  N Nosological comparisons of alcohol and drug diagnoses: a multisite, multi-instrument international study.  Drug Alcohol Depend 1997;47217- 226PubMedGoogle ScholarCrossref
42.
Nelson  CBRehm  JUstün  BGrant  BFChatterji  S Factor structure of DSM-IV substance disorder criteria endorsed by alcohol, cannabis, cocaine and opiate users: results from the World Health Organization Reliability and Validity Study.  Addiction 1999;94843- 855PubMedGoogle ScholarCrossref
43.
Pull  CBSaunders  JBMavreas  VCottler  LBGrant  BFHasin  DSBlaine  JMager  DUstün  BT Concordance between ICD-10 alcohol and drug use disorder criteria and diagnoses as measured by the AUDADIS-ADR, CIDI and SCAN: results of a cross-national study.  Drug Alcohol Depend 1997;47207- 216PubMedGoogle ScholarCrossref
44.
Ustün  BCompton  WMager  DBabor  TBaiyewu  OChatterji  SCottler  LGogus  AMavreas  VPeters  LPull  CSaunders  JSmeets  RStipec  MRVrasti  RHasin  DRoom  RVan den Brink  WRegier  DBlaine  JGrant  BFSartorius  N WHO study on the reliability and validity of the alcohol and drug use disorder instruments: overview of methods and results.  Drug Alcohol Depend 1997;47161- 170PubMedGoogle ScholarCrossref
45.
Vrasti  RGrant  BFChatterji  SUstün  BTMager  DOlteanu  IBadoi  M The reliability of the Romanian version of the alcohol module of the WHO Alcohol Use Disorder and Associated Disabilities Interview Schedule–Alcohol/Drug-Revised (AUDADIS-ADR).  Eur Addict Res 1998;4144- 149PubMedGoogle ScholarCrossref
46.
Muthén  BOGrant  BFHasin  DS The dimensionality of alcohol abuse and dependence: factor analysis of DSM-III-R and proposed DSM-IV criteria in the 1988 National Health Interview Survey.  Addiction 1993;881079- 1090PubMedGoogle ScholarCrossref
47.
Hasin  DSMuthén  BGrant  BF The dimensionality of DSM-IV alcohol abuse and dependence: factor analysis in a clinical sample. Vrasti  Red Alcoholism: New Research Perspectives. Munich, Germany: Hogrefe & Hubner;1997:;27-- 39Google Scholar
48.
Hasin  DSMuthén  BWisnicki  KSGrant  BF Validity of the bi-axial dependence concept: a test in the US general population.  Addiction 1994;89573- 579PubMedGoogle ScholarCrossref
49.
Hasin  DPaykin  AEndicott  JGrant  BF The validity of DSM-IV alcohol abuse: drunk drivers versus all others.  J Stud Alcohol 1999;60746- 755PubMedGoogle Scholar
50.
Hasin  DSSchuckit  MAMartin  CSGrant  BFBucholz  KKHelzer  JE The validity of DSM-IV alcohol dependence: what do we know and what do we need to know?  Alcohol Clin Exp Res 2003;27244- 252PubMedGoogle ScholarCrossref
51.
Kessler  RCBerglund  PADemler  OJin  RWalters  EE Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication.  Arch Gen Psychiatry 2005;62593- 602published correction appears in Arch Gen Psychiatry. 2005;62768PubMedGoogle ScholarCrossref
52.
Kessler  RCChiu  WTDemler  OWalters  EE Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication.  Arch Gen Psychiatry 2005;62617- 627[published correction appears in Arch Gen Psychiatry. 2005;62:709]PubMedGoogle ScholarCrossref
53.
Alonso  JAngermeyer  MCBernert  SBruffaerts  RBrugha  TSBryson  Hde Girolamo  GGraaf  RDemyttenaere  KGasquet  IHaro  JMKatz  SJKessler  RCKovess  VLepine  JPOrmel  JPolidori  GRusso  LJVilagut  GAlmansa  JArbabzadeh-Bouchez  SAutonell  JBernal  MBuist-Bouwman  MACodony  MDomingo-Salvany  AFerrer  MJoo  SSMartinez-Alonso  MMatschinger  HMazzi  FMorgan  ZMorosini  PPalacin  CRomera  BTaub  NVollebergh  WAESEMeD/MHEDEA 2000 Investigators, European Study of the Epidemiology of Mental Disorders (ESEMeD) Project, Prevalence of mental disorders in Europe: results from the European Study of the Epidemiology of Mental Disorders (ESEMeD) project.  Acta Psychiatr Scand Suppl 2004; ((420)) 21- 27PubMedGoogle Scholar
54.
Grant  BFCompton  WMCrowley  TJHasin  DSHelzer  JELi  T-KRounsaville  BJVolkow  NDWoody  GE Errors in assessing DSM-IV substance use disorders in Kessler et al [letter].  Arch Gen Psychiatry 2007;64379- 380Google ScholarCrossref
55.
Hasin  DSGrant  BF The co-occurrence of DSM-IV alcohol abuse in DSM-IV alcohol dependence: results of the National Epidemiologic Survey on Alcohol and Related Conditions on heterogeneity that differ by population subgroup.  Arch Gen Psychiatry 2004;61891- 896PubMedGoogle ScholarCrossref
56.
Hasin  DSHatzenbueler  BASmith  SMGrant  BF The co-occurrence of DSM-IV drug abuse in drug dependence: results from the National Epidemiologic Survey on Alcohol and Related Conditions.  Drug Alcohol Depend 2005;80117- 124PubMedGoogle ScholarCrossref
57.
Grant  BFHasin  DSStinson  FSDawson  DAChou  SPRuan  WJPickering  RP Prevalence, correlates, and disability of personality disorders in the United States: results from the National Epidemiologic Survey on Alcohol and Related Conditions.  J Clin Psychiatry 2004;65948- 958PubMedGoogle ScholarCrossref
58.
Grant  BFHasin  DSStinson  FSDawson  DAChou  SPRuan  WJHuang  B Co-occurrence of 12-month mood and anxiety disorders and personality disorders in the US: results from the National Epidemiologic Survey on Alcohol and Related Conditions.  J Psychiatr Res 2005;391- 9PubMedGoogle ScholarCrossref
59.
Compton  WMConway  KPStinson  FSColliver  JDGrant  BF Prevalence and comorbidity of DSM-IV antisocial syndromes and specific drug use disorders in the United States: results from the National Epidemiologic Survey on Alcohol and Related Conditions.  J Clin Psychiatry 2005;66677- 685PubMedGoogle ScholarCrossref
60.
Grant  BFHasin  DSBlanco  CStinson  FSChou  SPGoldstein  RBDawson  DASmith  SSaha  TDHuang  B The epidemiology of social anxiety disorder in the United States: results from the National Epidemiologic Survey on Alcohol and Related Conditions.  J Clin Psychiatry 2005;661351- 1361PubMedGoogle ScholarCrossref
61.
Grant  BFHasin  DSStinson  FSDawson  DAGoldstein  RBSmith  SHuang  BSaha  TD The epidemiology of DSM-IV panic disorder and agoraphobia in the United States: results from the National Epidemiologic Survey on Alcohol and Related Conditions.  J Clin Psychiatry 2006;67363- 374PubMedGoogle ScholarCrossref
62.
Grant  BFHasin  DSStinson  FSDawson  DARuan  WJGoldstein  RBSmith  SMSaha  TDHuang  B Prevalence, correlates, comorbidity and comparative disability of DSM-IV generalized anxiety disorder in the United States: results from the National Epidemiologic Survey on Alcohol and Related Conditions.  Psychol Med 2005;351747- 1759PubMedGoogle ScholarCrossref
63.
Grant  BFStinson  FSHasin  DSDawson  DAChou  SPRuan  WJHuang  B Prevalence, correlates and comorbidity of bipolar I disorder and axis I and II disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions.  J Clin Psychiatry 2005;661205- 1215PubMedGoogle ScholarCrossref
64.
Hasin  DSGoodwin  RDStinson  FSGrant  BF The epidemiology of major depressive disorder: results from the National Epidemiologic Survey on Alcohol and Related Conditions.  Arch Gen Psychiatry 2005;621097- 1106PubMedGoogle ScholarCrossref
65.
Ware  JEKosinski  MTurner-Bowker  DMGandek  B How to Score Version 2 of the SF-12 Health Survey.  Lincoln, RI: Quality Metric;2002;
66.
Lee  ET Statistical Methods for Survival Analysis.  Belmont, Calif: Lifetime Learning Publications;1980;
67.
Research Triangle Institute, Software for Survey Data Analysis (SUDAAN) Version 9.0.  Research Triangle Park, NC: Research Triangle Institute;2004;
68.
Teesson  MBaillie  ALynskey  MManor  BDegenhardt  L Substance use, dependence and treatment seeking in the United States and Australia: a cross-national comparison.  Drug Alcohol Depend 2006;81149- 155PubMedGoogle ScholarCrossref
69.
Warner  LAKessler  RCHughes  MAnthony  JCNelson  CB Prevalence and correlates of drug use and dependence in the United States: results from the National Comorbidity Survey.  Arch Gen Psychiatry 1995;52219- 229PubMedGoogle ScholarCrossref
70.
Gfroerer  JPenne  MPemberton  MFolsom  R Substance abuse treatment need among older adults in 2020: the impact of the aging baby-boom cohort.  Drug Alcohol Depend 2003;69127- 135PubMedGoogle ScholarCrossref
71.
Colliver  JDCompton  WMGfroerer  JCCondon  T Projecting drug use among aging baby boomers in 2020.  Ann Epidemiol 2006;16257- 265PubMedGoogle ScholarCrossref
72.
Compton  WMGrant  BFColliver  JDGlantz  MDStinson  FS Prevalence of marijuana use disorders in the United States: 1991-1992 and 2001-2002.  JAMA 2004;2912114- 2121PubMedGoogle ScholarCrossref
73.
Gibson  DRLeamon  MHFlynn  N Epidemiology and public health consequences of methamphetamine use in California's Central Valley.  J Psychoactive Drugs 2002;34313- 319PubMedGoogle ScholarCrossref
74.
Huang  BDawson  DAStinson  FSHasin  DSRuan  WJSaha  TDSmith  SMGoldstein  RBGrant  BF Prevalence, correlates and comorbidity of nonmedical prescription drug use disorders in the United States: results from the National Epidemiologic Survey on Alcohol and Related Conditions.  J Clin Psychiatry 2006;671062- 1073PubMedGoogle ScholarCrossref
75.
Beals  JNovins  DKWhitesell  NRSpicer  PMitchell  CMManson  SM Prevalence of mental health disorders and utilization of mental health services in two American Indian reservation populations: mental health disparities in a national context.  Am J Psychiatry 2005;1621723- 1732PubMedGoogle ScholarCrossref
76.
Gilder  DAWall  TLEhlers  CL Comorbidity of select anxiety and affective disorders with alcohol dependence in southwest California Indians.  Alcohol Clin Exp Res 2004;281805- 1813PubMedGoogle ScholarCrossref
77.
Crum  RMMuntaner  CEaton  WWAnthony  JC Occupational stress and the risk of alcohol abuse and dependence.  Alcohol Clin Exp Res 1995;19647- 655PubMedGoogle ScholarCrossref
78.
Crum  RMLillie-Blanton  MAnthony  JC Neighborhood environment and opportunity to use cocaine and other drugs in late childhood and early adolescence.  Drug Alcohol Depend 1996;43155- 161PubMedGoogle ScholarCrossref
79.
Crum  RMEnsminger  MERo  MJMcCord  J The association of educational achievement and school dropout with risk of alcoholism: a twenty-five–year prospective study of inner-city children.  J Stud Alcohol 1998;59318- 326PubMedGoogle Scholar
80.
Grant  BFDawson  DA Age of onset of drug use and its association with DSM-IV drug abuse and dependence: results from the National Longitudinal Alcohol Epidemiologic Survey.  J Subst Abuse 1998;10163- 173PubMedGoogle ScholarCrossref
81.
Hanna  EZGrant  BF Parallels to early onset alcohol use in the relationship of early onset smoking with drug use and DSM-IV drug and depressive disorders: findings from the National Longitudinal Alcohol Epidemiologic Survey.  Alcohol Clin Exp Res 1999;23513- 522PubMedGoogle Scholar
82.
Kendler  KSKarkowski  LMNeale  MCPrescott  CA Illicit psychoactive substance use, heavy use, abuse, and dependence in a US population-based sample of male twins.  Arch Gen Psychiatry 2000;57261- 269PubMedGoogle ScholarCrossref
83.
Petronis  KRAnthony  JC Perceived risk of cocaine use and experience with cocaine: do they cluster within US neighborhoods and cities?  Drug Alcohol Depend 2000;57183- 192PubMedGoogle ScholarCrossref
84.
Tsuang  MTLyons  MJHarley  RMXian  HEisen  SGoldberg  JTrue  WRFaraone  SV Genetic and environmental influences on transitions in drug use.  Behav Genet 1999;29473- 479PubMedGoogle ScholarCrossref
85.
Compton  WMThomas  YConway  KPColliver  JD Developments in the epidemiology of drug use and drug use disorders.  Am J Psychiatry 2005;1621494- 1502PubMedGoogle ScholarCrossref
86.
Hicks  BMKrueger  RFIacono  WGMcGue  MPatrick  CJ Family transmission and heritability of externalizing disorders: a twin study.  Arch Gen Psychiatry 2004;61922- 928PubMedGoogle ScholarCrossref
87.
Kendler  KSPrescott  CAMeyers  JNeale  MC The structure of genetic and environmental risk factors for common psychiatric and substance use disorders in men and women.  Arch Gen Psychiatry 2003;60929- 937PubMedGoogle ScholarCrossref
88.
Luo  XKranzler  HRZuo  LWang  SBlumberg  HPGelernter  J CHRM2 gene predisposes to alcohol dependence, drug dependence and affective disorders: results from an extended case-control structured association study.  Hum Mol Genet 2005;142421- 2434PubMedGoogle ScholarCrossref
89.
Grant  BF The influence of comorbid major depression and substance use disorders on alcohol and drug treatment: results of a national survey.  NIDA Res Monogr 1997;1724- 15PubMedGoogle Scholar
90.
Crisp  AHGelder  MGRix  SMeltzer  HIRowlands  OJ Stigmatization of people with mental illness.  Br J Psychiatry 2000;1774- 7PubMedGoogle ScholarCrossref
91.
Room  R Stigma, social inequality and alcohol and drug use.  Drug Alcohol Rev 2005;24143- 155PubMedGoogle ScholarCrossref
92.
Babor  TFKadden  RM Screening and interventions for alcohol and drug problems in medical settings: what works?  J Trauma 2005;59 ((3) (suppl)) S80- S87, S94-S100PubMedGoogle ScholarCrossref
93.
Fucito  LGomes  BMurnion  BHaber  P General practitioners' diagnostic skills and referral practices in managing patients with drug and alcohol-related health problems: implications for medical training and education programmes.  Drug Alcohol Rev 2003;22417- 424PubMedGoogle ScholarCrossref
94.
McLellan  ATMeyers  K Contemporary addiction treatment: a review of systems problems for adults and adolescents.  Biol Psychiatry 2004;56764- 770PubMedGoogle ScholarCrossref
95.
Institute of Medicine, Managing Managed Care: Quality Improvement in Behavioral Health. Washington, DC National Academy Press1997;
96.
McLellan  ATLewis  DCO’Brien  CPKleber  HD Drug dependence, a chronic medical condition: implications for treatment, insurance, and outcomes evaluation.  JAMA 2000;2841689- 1695PubMedGoogle ScholarCrossref
97.
American Society of Addiction Medicine, Principles of Addiction Medicine. 2 New York, NY Harcourt Brace Press1998;
98.
Lowinson  JedRuiz  PedMillman  RBed Substance Abuse: A Comprehensive Textbook. 2nd Baltimore, Md Williams & Wilkins;1992;
99.
National Institute on Drug Abuse, Principles of Drug Addiction Treatment: A Research Based Guide. Bethesda, Md National Institutes of Health NIH publication 99-41801999;
100.
National Institute on Alcohol Abuse and Alcoholism, Helping Patients Who Drink Too Much: A Clinician's Guide. Bethesda, Md: National Institutes of Health;2005;
101.
Carise  DGurel  OMcLellan  ATDugosh  KKendig  C Getting patients the services they need using a computer-assisted system for patient assessment and referral: CASPAR.  Drug Alcohol Depend 2005;80177- 189PubMedGoogle ScholarCrossref
102.
Brauzer  BLefley  HPSteinbook  R A module for training residents in public mental health systems and community resources.  Psychiatr Serv 1996;47192- 194PubMedGoogle Scholar
103.
Karam-Hage  MNerenberg  LBrower  KJ Modifying residents' professional attitudes about substance abuse treatment and training.  Am J Addict 2001;1040- 47PubMedGoogle ScholarCrossref
104.
Hack  MRAdger  H Strategic Plan for Interdisciplinary Faculty Development: Arming the Nation's Health Professional Work Force for a New Approach to Substance Use Disorders. Providence, RI AMERSA;2002;
105.
National Institute on Drug Abuse, Principles of Drug Abuse Treatment for Criminal Justice Populations.  Bethesda, Md National Institutes of Health2006;NIH publication 06-5316
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