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Table 1. 
Substance Use at Time 2 Through Time 4*
Substance Use at Time 2 Through Time 4*
Table 2. 
Childhood, Adolescent, and/or Early 20s Drug Use as Related to Risks of Major Depressive Disorder, Alcohol Dependence, and Substance Use Disorders in the Late 20s*
Childhood, Adolescent, and/or Early 20s Drug Use as Related to Risks of Major Depressive Disorder, Alcohol Dependence, and Substance Use Disorders in the Late 20s*
Table 3. 
Childhood, Adolescent, and/or Early 20s Drug Use as Related to Risks of Major Depressive Disorder, Alcohol Dependence, and Substance Use Disorders in the Late 20s*
Childhood, Adolescent, and/or Early 20s Drug Use as Related to Risks of Major Depressive Disorder, Alcohol Dependence, and Substance Use Disorders in the Late 20s*
1.
Breslau  NKilbey  MMAndreski  P Nicotine dependence, major depression, and anxiety in young adults.  Arch Gen Psychiatry. 1991;481069- 1074Google ScholarCrossref
2.
Holdcraft  LCIacono  WGMcGue  MK Antisocial personality disorder and depression in relation to alcoholism: a community-based sample.  J Stud Alcohol. 1998;59222- 226Google Scholar
3.
Kandel  DBJohnson  JGBird  HRCanino  GGoodman  SHLahey  BBRegier  DASchwab-Stone  M Psychiatric disorders associated with substance use among children and adolescents: findings from the methods for the epidemiology of child and adolescent mental disorders (MECA) study.  J Abnorm Child Psychiatry. 1997;25121- 132Google ScholarCrossref
4.
Stephens  RSRoffman  RASimpson  EE Adult marijuana users seeking treatment.  J Consult Clin Psychol. 1993;611100- 1104Google ScholarCrossref
5.
Tarter  REKirisci  LMezzich  A Multivariate typology of adolescents with alcohol use disorder.  Am J Addict. 1997;6150- 158Google ScholarCrossref
6.
Whitmore  EAMikulich  SKThompson  LLRiggs  PDAarons  GACrowley  TJ Influences on adolescent substance dependence: conduct disorder, depression, attention deficit hyperactivity disorder, and gender.  Drug Alcohol Depend. 1997;4787- 97Google ScholarCrossref
7.
Campbell  BKStark  MJ Psychopathology and personality characteristics in different forms of substance abuse.  Int J Addict. 1990;251467- 1474Google Scholar
8.
Swift  WWilliams  GNeill  OGrenyer  B The prevalence of minor psychopathology in opioid users seeking treatment.  Br J Addict. 1990;85629- 634Google ScholarCrossref
9.
Johnson  RJKaplan  HB Stability of psychological symptoms: drug use consequences and intervening processes.  J Health Soc Behav. 1990;31277- 291Google ScholarCrossref
10.
Institute of Medicine, Pathways of Addiction.  Washington, DC National Academy Press1996;
11.
Breslau  NKilbey  MMAndreski  P Vulnerability to psychopathology in nicotine-dependent smokers: an epidemiologic study of young adults.  Am J Psychiatry. 1993;150941- 946Google Scholar
12.
Kessler  RCCrum  RMWarner  LANelson  CBSchulenberg  JAnthony  JC Lifetime co-occurrences of DSM-III-R alcohol abuse and dependence with other psychiatric disorders in the national comorbidity survey.  Arch Gen Psychiatry. 1997;54313- 321Google ScholarCrossref
13.
DeMilio  L Psychiatric syndromes in adolescent substance abusers.  Am J Psychiatry. 1989;1461212- 1214Google Scholar
14.
Rohde  PLewinsohn  PMSeeley  JR Psychiatric comorbidity with problematic alcohol use in high school students.  J Am Acad Child Adolesc Psychiatry. 1996;35101- 109Google ScholarCrossref
15.
Brook  JSWhiteman  MGordon  ASCohen  P Dynamics of childhood and adolescent personality traits and adolescent drug use.  Dev Psychol. 1986;22403- 414Google ScholarCrossref
16.
Booth  BMKirchner  JEHamilton  GHarrell  RSmith  GR Diagnosing depression in the medically ill: validity of a lay-administered structured diagnostic interview.  J Psychiatr Res. 1998;32353- 360Google ScholarCrossref
17.
Burch  EA Suicide attempt histories in alcohol-dependent men: differences in psychological profiles.  Int J Addict. 1994;291477- 1486Google Scholar
18.
Cicchetti  DRogosch  FA Psychopathology as risk for adolescent substance use disorders: a developmental psychopathology perspective.  J Clin Child Psychol. 1999;28355- 365Google ScholarCrossref
19.
Glassman  AHHelzer  JECovey  LSCottler  LBStetner  FTipp  JEJohnson  J Smoking, smoking cessation, and major depression.  JAMA. 1990;2641546- 1549Google ScholarCrossref
20.
Hammersley  RLavelle  TLForsyth  AJ Adolescent drug use, health and personality.  Drug Alcohol Depend. 1992;3191- 99Google ScholarCrossref
21.
Hawke  JMJainchill  NDe Leon  G Adolescent amphetamine users in treatment: Client profiles and treatment outcomes.  J Psychoactive Drugs. 2000;3295- 105Google ScholarCrossref
22.
Mehrabian  A General relations among drug use, alcohol use, and major indexes of psychopathology.  J Psychol. 2001;13571- 86Google ScholarCrossref
23.
Mezzich  ATarter  RKirisci  LClark  DBuckstein  OMartin  C Subtypes of early age onset alcoholism.  Alcohol Clin Exp Res. 1993;17767- 770Google ScholarCrossref
24.
Weinberg  NZRahdert  EColliver  JDGantz  MD Adolescent substance abuse: a review of the past 10 years.  J Am Acad Child Adolesc Psychiatry. 1998;37252- 261Google ScholarCrossref
25.
Wittchen  HUKessler  RCZhao  SAbelson  J Reliability and clinical validity of UM-CIDI DSM-III-R generalized anxiety disorder.  J Psychiatr Res. 1995;2995- 110Google ScholarCrossref
26.
Wittchen  HUZhao  JMAbelson  JMAbelson  JLKessler  RC Reliability and procedural validity of UM-CIDI DSM-III-R phobic disorders.  Psychol Med. 1996;261169- 1177Google ScholarCrossref
27.
O'Malley  PMJohnston  LDBachman  JGSchulenberg  J A comparison of confidential versus anonymous survey procedures: effects on reporting of drug use and related attitudes and beliefs in a national study of students.  J Drug Issues. 2000;3035- 54Google Scholar
28.
Wallace  JM  JrForman  TAGuthrie  BJBachman  JGO'Malley  PMJohnston  LD The epidemiology of alcohol, tobacco, and other drug use among black youth.  J Stud Alcohol. 1999;60800- 809Google Scholar
29.
Hansell  SWhite  HR Adolescent drug use, psychological distress, and physical symptoms.  J Health Soc Behav. 1991;32288- 288Google ScholarCrossref
30.
Fergusson  DMHorwood  LJ Early-onset cannabis use and psychosocial adjustment in young adults.  Addiction. 1997;92279- 296Google ScholarCrossref
31.
McGee  RWilliams  SPoulton  RMoffitt  T A longitudinal study of cannabis use and mental health from adolescence to early adulthood.  Addiction. 2000;95491- 503Google ScholarCrossref
32.
Newcomb  MDBentler  PM Impact of adolescent drug use and social support on problems of young adults: a longitudinal study.  J Abnorm Psychol. 1988;9764- 75Google ScholarCrossref
33.
Brook  JSCohen  PBrook  DW Longitudinal study of co-occurring psychiatric disorders and substance use.  J Am Acad Child Adolesc Psychiatry. 1998;37322- 330Google ScholarCrossref
34.
Costello  AEdelbrock  CKalas  RKessler  MKlaric  SA Diagnostic Interview Schedule for Children (DISC).  Bethesda, Md National Institute of Mental Health1982;
35.
Cohen  PKasen  SBrook  JSStreuning  EL Diagnostic predictors of treatment patterns in a cohort of adolescents.  J Am Acad Child Adolesc Psychiatry. 1991;30989- 993Google ScholarCrossref
36.
O'Malley  PMJohnston  LDBachman  JG Epidemiology of substance abuse in adolescence. Ott  PJTarter  REeds. Sourcebook on Substance Abuse: Etiology, Epidemiology, Assessment, and Treatment. Boston, Mass Allyn & Bacon1999;14- 31Google Scholar
37.
American Psychiatric Association, Diagnostic and Statistical Manual of Mental Disorders, Revised Third Edition.  Washington, DC American Psychiatric Association1987;
38.
American Psychiatric Association, Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition.  Washington, DC American Psychiatric Association1994;
39.
Johnston  LDO'Malley  PMBachman  JG National Survey Results on Drug Use from the Monitoring the Future Study, 1975-1999.  Rockville, Md National Institute on Drug Abuse2000; Secondary Students 1 NIH publication 95-4026. Google Scholar
40.
Johnston  LDO'Malley  PMBachman  JG Monitoring the Future National Results on Adolescent Drug Use: Overview Of Key Findings, 2000.  Bethesda, Md National Institute on Drug Abuse2001;NIH publication 01-4923
41.
Harrison  LHughes  A Introduction–The validity of self-reported drug use: improving the accuracy of survey estimates.  NIDA Res Monogr. 1997;1671- 16Google Scholar
Original Article
November 2002

Drug Use and the Risk of Major Depressive Disorder, Alcohol Dependence, and Substance Use Disorders

Author Affiliations

From the Department of Community and Preventive Medicine, Mount Sinai School of Medicine (Drs D. W. Brook, J. S. Brook, and Whiteman, and Mr Zhang), and the Department of Psychiatry, Columbia University (Dr Cohen), New York, NY.

Arch Gen Psychiatry. 2002;59(11):1039-1044. doi:10.1001/archpsyc.59.11.1039
Abstract

Background  The Children in the Community Study is a prospective longitudinal study investigating the association between early drug use (childhood, adolescence, and early 20s) and later psychiatric disorders (in the late 20s).

Methods  Using data from a community-based sample of 736 adults (50% female) from upstate New York, the subjects were interviewed at the mean ages of 14, 16, 22, and 27 years. Psychiatric disorders, measured by age-appropriate versions of the University of Michigan Composite International Diagnostic Interview, and participant's drug use were assessed.

Results  Adolescent and young adult tobacco use was significantly associated with an increased risk of alcohol dependence and substance use disorders at a mean age of 27 years, but not with new episodes of major depressive disorder. Earlier alcohol use significantly predicted later major depressive disorder, alcohol dependence, and substance use disorders in the late 20s, as did early marijuana use and other illicit drug use. Except for the effect of tobacco use on major depressive disorder, early drug use was significantly related to later psychiatric disorders, even after statistically controlling for age, sex, parental educational level, family income, and prior episodes of major depressive disorder and substance use disorders.

Conclusions  Our results suggest that early drug use is associated with and predicts later psychiatric disorders. Preventive implications stem from the importance of studying a range of psychiatric disorders in the context of substance use assessed over a wide age range.

MANY CLINICAL and community studies have confirmed that there is a significant link between legal and illegal drug use and psychopathology.1-24 Drug use itself has been found to be significantly related to substance use disorders(SUDs),3-8,11,13-15,25 including nicotine dependence,1,3 anxiety, and affective disturbances.1,3-5,9,13,15,19,22,23 In fact, in general, drug users have both higher rates and more severe levels of psychological impairments than do individuals who do not use drugs.1,4,7,17 Yet, despite the finding that drug use is related to psychiatric disorders, it has been unclear whether drug use precedes the development of psychiatric disorders.2,15 A more complete delineation of the relationship between earlier drug use and later psychiatric disorders will contribute information for prevention and intervention.

Our focus in the current longitudinal study is whether drug use in childhood, adolescence, and/or early adulthood predicts episodes of psychiatric disorders in the late 20s. Our rationale for assuming such influences is based on findings that indicate that drug use is associated with effects on psychosocial, physical, and cognitive functioning that, in turn, predict major depressive disorder(MDD), alcohol dependence, and SUDs.10 The overwhelming number of studies, whether of treatment4-8,13,16,17,23 or community samples,1,3,11,12,19,20,22,25-27 are cross-sectional. In contrast, the present study of a community sample has a longitudinal design. Herein we investigate changes that occur over a long span of time (eg, 14 years). More specifically, adult psychopathology is assessed in relation to drug behavior present during childhood through early adulthood. While there are a few existing studies that have used a longitudinal design,9,14,28-30 the relationship between drug use and psychiatric symptoms has only been investigated in a time-limited manner. For example, McGee et al31 reported that tobacco, alcohol, and cannabis use at the age of 18 years is associated with an elevated risk of later substance dependence and antisocial behavior among 21-year-old men. Hansell and White29 found that drug use in early adolescence was associated with psychological distress(ie, depression, anxiety, and phobic anxiety) in later adolescence. Although not using clinical diagnostic criteria, Newcomb and Bentler32 showed independent effects of drug use in early and late adolescence on psychosomatic complaints and emotional distress in the early 20s.

In a previous analysis of this sample, we examined the relationship between substance use in adolescence and psychiatric disorders in the early 20s. The findings indicated that tobacco and illicit drug use in adolescence were related to MDD in the early 20s. In the present study, we extend this analysis to consider the cumulative effect of substance use (as well as drug use during specific developmental periods) on episodes of MDD in the late 20s. In addition, we test the association between prior substance use and later alcohol dependence and substance dependence.33

In contrast to other investigators who examined the relationship of drug use and SUDs during adolescence alone, we examine the effects of drug use (tobacco, alcohol, marijuana, and other illicit drugs) during childhood, adolescence, and the early 20s on the development of episodes of MDD, alcohol dependence, and SUDs in the late 20s. Our hypothesis is that earlier drug use is associated with later psychiatric disorders.

Methods
Participants

Participation was based on a randomly selected cohort (n = 975) studied prospectively since 1975. Population data from the 1970 census (updated for 1975) for sampling units in Albany and Saratoga (New York) counties were obtained. A systematic sample of primary sampling units (areas) in each county was then drawn with probability proportional to the number of households. Blocks were selected with probability proportional to size (number of households). Address lists were compiled. Households with at least 1 child between 1 and 10 years of age were qualified to participate. In each household 1 child was randomly selected. The original sample was representative of the population of children in upstate New York for sex, family intactness, family income, and parental educational level, according to the 1980 Survey of the US Bureau of the Census. Eighty-five percent of the original sample agreed to participate. Data on the participants were collected in their homes in 1975 (time 1 [T1]: mean[SD] age, 5.57 [2.85] years), 1983 (time 2 [T2]: mean [SD] age, 14.05 [2.80] years), 1986 (time 3 [T3]: mean [SD] age, 16.26 [2.81] years), 1992 (time 4 [T4]: mean [SD] age, 22.28 [2.82] years), and in 1997 (time 5 [T5]: mean[SD] age, 26.99 [2.80] years). At T1, the participant's age range was between 1 and 10 years, with equal numbers of participants at each age. Written informed consent was obtained from the mothers of the participants in 1975; from the participants and their mothers in 1983, 1986, and 1992; and from the participants only in 1997. The sample for the analyses in this study was the 1997 sample(T5; n = 736), which had the following distribution: 92% white, 50% female, 38% married, and 93% with at least a 12th grade education. There was a 2% attrition rate from the 1992 sample (T4).

Data were collected using structured interviews of the participants. The participants were seen in their homes by lay interviewers who were extensively trained and supervised. Participants who moved outside the United States were interviewed by telephone or mailed questionnaires. There were no differences between those whom we interviewed in person, by telephone, or by mailed questionnaires. Brook et al15 discuss in detail the sampling procedures and the composition of the original sample.

MEASUREMENT OF PRIOR EPISODES OF MDD AND SUDs DURING CHILDHOOD AND ADOLESCENCE

For the current study, prior episodes of MDD during childhood, early adolescence (T2), and middle and/or late adolescence (T3) were used as control variables. Prior MDD and SUDs were assessed by a supplemented version of the Diagnostic Interview Schedule for Children, 34 using computer algorithms designed to match DSM-III-R criteria, to combine information collected from mothers and youths.35 Further details are presented in Brook et al.33 We combined the 2 wave measures to create 1 dichotomous scale for prior MDD and for prior SUDs. The percentage of subjects who qualified for the diagnoses of prior episodes of MDD and SUDs (T2 and T3) was 5.21% and 9.59%, respectively.

Measurement of substance use

In addition to the assessment of alcohol dependence and SUDs in 1997(T5) described earlier, we included questions on the use of drugs (tobacco, alcohol, marijuana, and other illicit drugs). These questions asked about the frequency of ever using drugs in childhood and early adolescence (1983[T2]), use during the last 2 years of middle and late adolescence (1986 [T3]), and using during the last 5 years in the early 20s (1992 [T4]). The cigarette measure at each point in time had a 6-point rating scale ranging from never smoking (0) to smoking 1½ packs daily (5). The alcohol measure at each time had a 5-point rating scale ranging from never (0) to 3 or more drinks daily (4). The marijuana use measure at each time had an 8-point rating scale ranging from never (0) to daily use (7). Finally, the other illicit drug use(eg, cocaine, heroin, amphetamines, and others) measures had an 8-point scale ranging from never (0) to daily use (7). We regrouped these items into 4-point scales to create consistent measures for each drug: never (0), light use (1), moderate use (2), and heavy use (3). Frequency of use was added across all time points to provide a separate cumulative measure for each of the drugs considered. Thus, higher scores were obtained by more frequent users, that is, individuals who used illict drugs more frequently when considering their drug use at all points in time. The percentages of children, early adolescents, middle adolescents, late adolescents, and young adults in their early 20s who smoked cigarettes, drank alcohol, smoked marijuana, and used illegal drugs other than marijuana are listed in Table 1. The definitions of the levels of the use of cigarettes, alcohol, marijuana, and other illicit drugs are consistent with those reported by O'Malley et al36 and Wallace et al.28

Measurement of psychiatric disorders

Major depressive disorder, alcohol dependence, and SUDs were assessed in 1997 (T5) using a modified version of the University of Michigan Composite International Diagnostic Interview.16,25 The University of Michigan Composite International Diagnostic Interview is a highly structured research diagnostic instrument developed for use by trained lay interviewers to assess the most common diagnoses among children, adolescents, and young adults as described in the DSM-III-R.37 Reliability and validity measures for the instrument are described by Wittchen et al.25,26 In the present study, we updated the University of Michigan Composite International Diagnostic Interview so that MDD, alcohol dependence, and SUDs were considered present only if they met modified DSM-IV criteria.38 Major depresive disorder was diagnosed if subjects had a change in functioning reflected by 5 or more of the following criteria during the same 2-week period: (1) depressed mood most of the day, nearly every day, or (2) markedly diminished interest or pleasure in all, or almost all, activities (1 must be present); (3) significant weight loss or gain when not dieting; (4) hypersomnia or insomnia nearly every day; (5) psychomotor agitation or retardation; (6) feeling tired nearly every day; (7) feeling worthlessness or inappropriate guilt; (8) problems concentrating; and (9) recurrent thoughts about death. Alcohol dependence and substance dependence were ascertained by the presence of 3 or more of the following for each substance during the same 12-month period: (1) a need for markedly increased amounts of the substance to achieve intoxication; (2) taking the substance to relieve or avoid withdrawal symptoms; (3) taking the substance in larger amounts or for a longer period than intended; (4) important social, occupational, or recreational activities are given up because of substance use; (5) continued use of the substance despite knowledge of having a persistent or recurrent problem that is likely caused or worsened by the substance; (6) a persistent desire or unsuccessful effort to cut down or control substance use; and (7) a great deal of time is spent in activities necessary to obtain or use the substance, or recover from its effects.

The percentages of subjects in their late 20s in 1997 (T5) who qualified for the diagnoses of MDD, alcohol dependence, and SUDs were 8.3%, 5.2%, and 6.1%, respectively. Most individuals with SUDs showed evidence of marijuana abuse or dependence. Five percent of the total sample reported more than 1 psychiatric diagnosis (n = 32). The subjects who reported more than 1 psychiatric diagnosis were as follows: those with MDD and alcohol dependence (n = 7); those with MDD and SUDs (n = 6); those with alcohol dependence and SUDs (n= 14); and those with all 3 diagnoses (n = 5).

Statistical analysis

Data were rarely missing for the participants. There were a few cases in which the participants did not know the answer or refused to respond (no more than 1%-2%).

Separate logistic regression analyses were conducted for the independent variables of tobacco, alcohol, marijuana, and other illicit drug use (during childhood and early adolescence, middle and late adolescence, and/or the early 20s) and the dependent variables of episodes of MDD, alcohol dependence, and SUDs (in the late 20s). We obtained adjusted odds ratios (ORs) and 95% confidence intervals (CIs). Given the small number of youth with psychiatric diagnoses, we were unable to do the analyses for the different subgroups (eg, parental educational level, family income, age, and sex). Therefore, these variables were statistically controlled for in the logistic regression analyses. In a second series of logistic regression analyses, we examined the relation of the independent drug use variables and the psychiatric disorders (MDD, alcohol dependence, and SUDs) controlling for episodes of appropriate psychiatric disorders (MDD or SUDs) during childhood, early adolescence, and middle and late adolescence. The analyses were also done with control for childhood aggression; the findings were not significantly altered.

Results

The following findings based on the Pearson product-moment correlations indicated that (1) chronological age was unrelated to any of the disorders;(2) sex (males higher than females) was only related to SUDs (r = 0.12, P<.001); (3) higher family income was negatively related to MDD (r = −0.08, P<.05) and positively related to alcohol dependence(r = 0.08, P<.05); (4) higher parental educational levels were negatively related to MDD (r = −0.09, P<.05) and positively related to alcohol dependence and to SUDs (r = 0.09, P<.05; r = 0.09, P<.05, respectively); (5) prior episodes of MDD were positively related to later MDD (r = 0.16, P<.001) and alcohol dependence (r = 0.08, P<.05); and (6) prior episodes of SUDs were positively related to later SUDs (r = 0.11, P<.01).

Table 2 gives the results of the logistic regression analyses. The dependent variables were psychiatric disorders (MDD, alcohol dependence, and SUDs) and the independent variables were earlier drug use (tobacco, alcohol, marijuana, and other illicit drugs). Sociodemographic characteristics and prior episodes of MDD and SUDs as well as childhood aggression were used as statistical controls.

Frequency of tobacco use over the childhood and early adolescent, middle and later adolescent, and young adult periods (T2, T3, and T4, respectively) was associated with an increased risk for alcohol dependence and SUDs, but not with the risk for episodes of MDD in the late 20s (T5). Individuals who had smoked tobacco more frequently (T2-T4) were more likely to have alcohol dependence (OR, 1.3; 95% CI, 1.13-1.50; P<.01) and SUDs (OR, 1.16; 95% CI, 1.0-1.33; P<.05). Heavier alcohol use during childhood and early adolescence (OR, 1.42; 95% CI, 1.17-1.72, P<.001), middle and late adolescence(OR, 1.49; 95% CI, 1.17-1.91), and the early 20s significantly predicted episodes of MDD as well as alcohol dependence and SUDs in the late 20s (OR, 1.50; 95% CI, 1.17-1.92; P<.001). Marijuana use during childhood and early adolescence (OR, 1.18; 95% CI, 1.04-1.33; P<.05), middle and late adolescence (OR, 1.23; 95% CI, 1.06-1.43; P<.05), and the early 20s (OR, 1.41; 95% CI, 1.21-1.65; P<.001) also showed substantial effects on later MDD, alcohol dependence, and SUDs. Finally, more frequent other illicit drug use during childhood and early adolescence (OR, 1.39; 95% CI, 1.16-1.67; P<.05), middle and late adolescence (OR, 1.65; 95% CI, 1.34-2.02; P<.001), and the early 20s (OR, 1.65; 95% CI, 1.34-2.02; P<.001) had a significant effect on later MDD, alcohol dependence, and SUDs. Overall, except for the effect of tobacco use on MDD, drug use during the early years was significantly related to later psychiatric disorders, even after statistically controlling for age, sex, parental educational level, family income, and episodes of prior psychiatric symptoms.

We also examined the results of the logistic regression analysis for each of the periods (T2, T3, and T4). The independent variables were tobacco, alcohol, marijuana, and other illicit drugs. The dependent variables were MDD, alcohol dependence, and SUDs (Table 3).

As given in Table 3, there was a relationship between T2 marijuana use and MDD. The use of tobacco, alcohol, marijuana, and other illicit drugs at T2 and T4 were related to alcohol dependence and SUDs at T5. Tobacco use at T2 and alcohol and other illicit drugs used at T4 were related to MDD at T5.

We compared the consistent users at T2 through T4 and later users of drugs at T3 through T4 with respect to MDD, alcohol use, and SUDs. Insufficient total numbers of the population in the early user group did not allow for statistical comparisons. Although there was no overall statistical significance in the comparison between the later users vs the consistent users, a trend did emerge on the measure of SUDs. The consistent group, whether for tobacco, alcohol, marijuana, or other illicit drugs, showed more evidence of SUDs than the later users (9% vs 6% for tobacco use; 12% vs 4% for alcohol dependence; 13% vs 8% for marijuana use; and 19% vs 11% for other illicit drug use).

Comment

As predicted, our results demonstrate that the cumulative frequency of drug use (alcohol, marijuana, and other illegal drugs) covering the period of childhood and early adolescence, middle and late adolescence, and/or early adulthood (T2-T4) was associated with episodes of MDD, alcohol dependence, and SUDs in the late 20s (T5). This finding supports and further extends the literature in a number of ways.1-6,14,29 First, the study provides evidence that drug use precedes MDD and alcohol dependence, and is not merely a consequence of these disorders. Related to this, the study demonstrates that certain types of drug use (eg, marijuana) during childhood and adolescence should not necessarily be treated as benign conditions that the youth may outgrow. Second, unlike other studies, our data demonstrate that the relationship between drug use and psychiatric disorders can hold across a large span of time (eg, 14 years). Moreover, for the most part, our results indicate that the relationships between our independent variables and alcohol dependence and SUDs stem from drug use at both T2 and T3 as well as T4. Major depressive disorder has the strongest relationship with the recent use of alcohol and illegal drugs other than marijuana. Third, the link between drug use in childhood and early adolescence, middle and late adolescence, and/or the early 20s and MDD, alcohol dependence, and SUDs in the late 20s appears even after controlling for the effects of sex, age, prior episodes of MDD, and socioeconomic status.

With the exception of tobacco use, our results extend the findings of cross-sectional studies5,7 to our longitudinal sample and show that earlier drug use is associated with the occurrence of several psychiatric disorders at a later time. More specifically, alcohol use increases the risk of later MDD, alcohol dependence, and SUDs. Both marijuana use and the use of other illicit drugs also increase the risk of later MDD, alcohol dependence, and SUDs. The findings are in partial accord with those of Fergusson and Horwood,30 who noted that earlier cannabis use increased the risk of later drug dependence. The present study examines the use of tobacco, alcohol, and other illicit drugs, in addition to the use of marijuana. Although we cannot assert that our study indicates a causal relationship between drug use and the later occurrence of psychiatric disorders, substance use appears at least to contribute to the occurrence of some psychiatric disorders.

There may be a variety of mechanisms underlying the linkage between the use of alcohol, marijuana, or other illicit drugs and later psychiatric disorders, associated with different causes. In line with a psychopharmacological interpretation, it may be that different neurobiological and behavioral changes occur with multiple exposures to different drugs.10 However, despite the different pharmacological properties of the various substances, the similarity of the ORs between drug use and psychiatric disorders (1.2-1.4) suggests the homogeneity of their mechanisms, which may arise from unmeasured common underlying factors such as family conflict, drug-using peers, or genetic factors. Such underlying common factors may have an effect at some time during development on the onset of marijuana use which, in turn, may be related to mental illnesses. Therefore, limitation of drug use may lessen the adverse effect of earlier family or genetic factors on the development of later psychiatric disorders.

In our earlier work, we found that tobacco use in late adolescence did predict MDD in the early 20s.33 In this analysis, our results extend these findings by demonstrating that tobacco use in late adolescence predicts MDD in the late 20s. However, contrary to expectation, tobacco use in the early 20s does not predict MDD in the late 20s. This finding may point to a critical period for the noxious influence of tobacco use on the later development of MDD.

The study has several limitations. The sample we used was predominantly white; therefore, we can only generalize to a population of white youth. However, the study is based on an epidemiological sample of the northeast, and the rates of drug use were not too different from those found elsewhere in the United States at each point in time.39,40 We were able to make comparisons of individual changes in addition to the cohort changes noted previously. There was a trend for consistent users to report greater SUDs than later users on each of the 4 drug conditions. This type of focus on individual patterns may not be evident in a cohort analysis. Such individual analyses would be important to pursue in the future. Although some researchers27,41 have noted the relative validity of self-reports of drug use, we were unable to include external validation of the psychiatric disorders or drug use to confirm our self-report measures. More detailed reporting of psychiatric disorders may appear in adulthood compared with adolescence, and, thus, may contribute to the statistical significance of the young adult findings, specifically, a higher prevalence of psychiatric disorders. For example, adolescents have an easier time reporting concrete events like drug use than internal processes such as mood symptoms. Furthermore, we did not include some DSM-IV disorders (eg, antisocial personality disorder); thus, we may have underestimated the extent to which earlier drug use is related to such later psychiatric disorders. There may be some underreporting of alcohol use by the participants. Perhaps this accounts for the fact that the relationship between alcohol use and later alcohol dependence was not higher than the relationship between alcohol use and later SUDs.

Despite these caveats, the study has implications for the prevention of MDD, alcohol dependence, SUDs, and possibly other psychiatric disorders. The results indicate that to the extent that substance use is implicated in psychiatric disorders, a decrease in youth substance use may be accompanied by a corresponding decrease in later psychiatric disorders. Thus, from a treatment perspective, early detection of drug use will be facilitated if physicians are aware that drug use in children, adolescents, and young adults may signal the development of later MDD, alcohol dependence, and SUDs. Well-coordinated interventions against the early use of drugs may act to alleviate physiological or psychosocial problems that are related to adult psychiatric disorders.

The study indicates the importance of examining a range of psychiatric disorders in conjunction with many kinds of earlier substance use over a wide age range to afford a more complete picture of how these complex factors are developmentally related. Physicians may derive benefit from such an approach in planning prevention and treatment interventions.

Submitted for publication October 91, 2001; final revision received March 25, 2002; accepted March 26, 2002.

This research was supported by research grant DA 03188 and Research Scientist Award DA 00244 from the National Institute on Drug Abuse, National Institutes of Health, Rockville, Md (Dr J. S. Brook).

We thank Summer Lu Zheng, MS, for performing the preliminary analyses and Rebecca Sugerman for reviewing the literature.

Corresponding author and reprints: David W. Brook, MD, Box 1044A, Mount Sinai School of Medicine, One Gustave L. Levy Place, New York, NY 10029-6574.

References
1.
Breslau  NKilbey  MMAndreski  P Nicotine dependence, major depression, and anxiety in young adults.  Arch Gen Psychiatry. 1991;481069- 1074Google ScholarCrossref
2.
Holdcraft  LCIacono  WGMcGue  MK Antisocial personality disorder and depression in relation to alcoholism: a community-based sample.  J Stud Alcohol. 1998;59222- 226Google Scholar
3.
Kandel  DBJohnson  JGBird  HRCanino  GGoodman  SHLahey  BBRegier  DASchwab-Stone  M Psychiatric disorders associated with substance use among children and adolescents: findings from the methods for the epidemiology of child and adolescent mental disorders (MECA) study.  J Abnorm Child Psychiatry. 1997;25121- 132Google ScholarCrossref
4.
Stephens  RSRoffman  RASimpson  EE Adult marijuana users seeking treatment.  J Consult Clin Psychol. 1993;611100- 1104Google ScholarCrossref
5.
Tarter  REKirisci  LMezzich  A Multivariate typology of adolescents with alcohol use disorder.  Am J Addict. 1997;6150- 158Google ScholarCrossref
6.
Whitmore  EAMikulich  SKThompson  LLRiggs  PDAarons  GACrowley  TJ Influences on adolescent substance dependence: conduct disorder, depression, attention deficit hyperactivity disorder, and gender.  Drug Alcohol Depend. 1997;4787- 97Google ScholarCrossref
7.
Campbell  BKStark  MJ Psychopathology and personality characteristics in different forms of substance abuse.  Int J Addict. 1990;251467- 1474Google Scholar
8.
Swift  WWilliams  GNeill  OGrenyer  B The prevalence of minor psychopathology in opioid users seeking treatment.  Br J Addict. 1990;85629- 634Google ScholarCrossref
9.
Johnson  RJKaplan  HB Stability of psychological symptoms: drug use consequences and intervening processes.  J Health Soc Behav. 1990;31277- 291Google ScholarCrossref
10.
Institute of Medicine, Pathways of Addiction.  Washington, DC National Academy Press1996;
11.
Breslau  NKilbey  MMAndreski  P Vulnerability to psychopathology in nicotine-dependent smokers: an epidemiologic study of young adults.  Am J Psychiatry. 1993;150941- 946Google Scholar
12.
Kessler  RCCrum  RMWarner  LANelson  CBSchulenberg  JAnthony  JC Lifetime co-occurrences of DSM-III-R alcohol abuse and dependence with other psychiatric disorders in the national comorbidity survey.  Arch Gen Psychiatry. 1997;54313- 321Google ScholarCrossref
13.
DeMilio  L Psychiatric syndromes in adolescent substance abusers.  Am J Psychiatry. 1989;1461212- 1214Google Scholar
14.
Rohde  PLewinsohn  PMSeeley  JR Psychiatric comorbidity with problematic alcohol use in high school students.  J Am Acad Child Adolesc Psychiatry. 1996;35101- 109Google ScholarCrossref
15.
Brook  JSWhiteman  MGordon  ASCohen  P Dynamics of childhood and adolescent personality traits and adolescent drug use.  Dev Psychol. 1986;22403- 414Google ScholarCrossref
16.
Booth  BMKirchner  JEHamilton  GHarrell  RSmith  GR Diagnosing depression in the medically ill: validity of a lay-administered structured diagnostic interview.  J Psychiatr Res. 1998;32353- 360Google ScholarCrossref
17.
Burch  EA Suicide attempt histories in alcohol-dependent men: differences in psychological profiles.  Int J Addict. 1994;291477- 1486Google Scholar
18.
Cicchetti  DRogosch  FA Psychopathology as risk for adolescent substance use disorders: a developmental psychopathology perspective.  J Clin Child Psychol. 1999;28355- 365Google ScholarCrossref
19.
Glassman  AHHelzer  JECovey  LSCottler  LBStetner  FTipp  JEJohnson  J Smoking, smoking cessation, and major depression.  JAMA. 1990;2641546- 1549Google ScholarCrossref
20.
Hammersley  RLavelle  TLForsyth  AJ Adolescent drug use, health and personality.  Drug Alcohol Depend. 1992;3191- 99Google ScholarCrossref
21.
Hawke  JMJainchill  NDe Leon  G Adolescent amphetamine users in treatment: Client profiles and treatment outcomes.  J Psychoactive Drugs. 2000;3295- 105Google ScholarCrossref
22.
Mehrabian  A General relations among drug use, alcohol use, and major indexes of psychopathology.  J Psychol. 2001;13571- 86Google ScholarCrossref
23.
Mezzich  ATarter  RKirisci  LClark  DBuckstein  OMartin  C Subtypes of early age onset alcoholism.  Alcohol Clin Exp Res. 1993;17767- 770Google ScholarCrossref
24.
Weinberg  NZRahdert  EColliver  JDGantz  MD Adolescent substance abuse: a review of the past 10 years.  J Am Acad Child Adolesc Psychiatry. 1998;37252- 261Google ScholarCrossref
25.
Wittchen  HUKessler  RCZhao  SAbelson  J Reliability and clinical validity of UM-CIDI DSM-III-R generalized anxiety disorder.  J Psychiatr Res. 1995;2995- 110Google ScholarCrossref
26.
Wittchen  HUZhao  JMAbelson  JMAbelson  JLKessler  RC Reliability and procedural validity of UM-CIDI DSM-III-R phobic disorders.  Psychol Med. 1996;261169- 1177Google ScholarCrossref
27.
O'Malley  PMJohnston  LDBachman  JGSchulenberg  J A comparison of confidential versus anonymous survey procedures: effects on reporting of drug use and related attitudes and beliefs in a national study of students.  J Drug Issues. 2000;3035- 54Google Scholar
28.
Wallace  JM  JrForman  TAGuthrie  BJBachman  JGO'Malley  PMJohnston  LD The epidemiology of alcohol, tobacco, and other drug use among black youth.  J Stud Alcohol. 1999;60800- 809Google Scholar
29.
Hansell  SWhite  HR Adolescent drug use, psychological distress, and physical symptoms.  J Health Soc Behav. 1991;32288- 288Google ScholarCrossref
30.
Fergusson  DMHorwood  LJ Early-onset cannabis use and psychosocial adjustment in young adults.  Addiction. 1997;92279- 296Google ScholarCrossref
31.
McGee  RWilliams  SPoulton  RMoffitt  T A longitudinal study of cannabis use and mental health from adolescence to early adulthood.  Addiction. 2000;95491- 503Google ScholarCrossref
32.
Newcomb  MDBentler  PM Impact of adolescent drug use and social support on problems of young adults: a longitudinal study.  J Abnorm Psychol. 1988;9764- 75Google ScholarCrossref
33.
Brook  JSCohen  PBrook  DW Longitudinal study of co-occurring psychiatric disorders and substance use.  J Am Acad Child Adolesc Psychiatry. 1998;37322- 330Google ScholarCrossref
34.
Costello  AEdelbrock  CKalas  RKessler  MKlaric  SA Diagnostic Interview Schedule for Children (DISC).  Bethesda, Md National Institute of Mental Health1982;
35.
Cohen  PKasen  SBrook  JSStreuning  EL Diagnostic predictors of treatment patterns in a cohort of adolescents.  J Am Acad Child Adolesc Psychiatry. 1991;30989- 993Google ScholarCrossref
36.
O'Malley  PMJohnston  LDBachman  JG Epidemiology of substance abuse in adolescence. Ott  PJTarter  REeds. Sourcebook on Substance Abuse: Etiology, Epidemiology, Assessment, and Treatment. Boston, Mass Allyn & Bacon1999;14- 31Google Scholar
37.
American Psychiatric Association, Diagnostic and Statistical Manual of Mental Disorders, Revised Third Edition.  Washington, DC American Psychiatric Association1987;
38.
American Psychiatric Association, Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition.  Washington, DC American Psychiatric Association1994;
39.
Johnston  LDO'Malley  PMBachman  JG National Survey Results on Drug Use from the Monitoring the Future Study, 1975-1999.  Rockville, Md National Institute on Drug Abuse2000; Secondary Students 1 NIH publication 95-4026. Google Scholar
40.
Johnston  LDO'Malley  PMBachman  JG Monitoring the Future National Results on Adolescent Drug Use: Overview Of Key Findings, 2000.  Bethesda, Md National Institute on Drug Abuse2001;NIH publication 01-4923
41.
Harrison  LHughes  A Introduction–The validity of self-reported drug use: improving the accuracy of survey estimates.  NIDA Res Monogr. 1997;1671- 16Google Scholar
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