Differences in prevalences across variable categories in NESARC are compared with differences in prevalences in NESARC-III. FPL indicates federal poverty level. Error bars indicate 95% CIs.
aP < .001, compared with women.
bP < .001, compared with nonwhite.
cP < .001, compared with married or living as married.
dP = .03, compared with some college or more.
eP = .003, compared with some college or more.
fP < .001, compared with greater than 200% FPL.
gP = .008, compared with greater than 200% FPL.
Differences in prevalences across variable categories in NESARC are compared with differences in prevalences in NESARC-III. Error bars indicate 95% CIs.
cP = .01, compared with 45 years or older.
dP = .03, compared with 45 years or older.
eP = .01, compared with married or living as married.
fP = .002, compared with married or living as married.
gP = .003, compared with some college or more.
eTable 1. Heroin Use and Demographic Correlates in NESARC (2001-2002) and NESARC-III (2012-2013)
eTable 2.DSM-IV Heroin Use Disorder and Demographic Correlates in NESARC (2001-2002) and NESARC-III (2012-2013)
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Martins SS, Sarvet A, Santaella-Tenorio J, Saha T, Grant BF, Hasin DS. Changes in US Lifetime Heroin Use and Heroin Use Disorder: Prevalence From the 2001-2002 to 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions . JAMA Psychiatry. 2017;74(5):445–455. doi:10.1001/jamapsychiatry.2017.0113
Did a change occur in the prevalence, course, and associated demographics of heroin use and heroin use disorder from 2001-2002 to 2012-2013?
In this population-based survey study of 79 402 respondents, the prevalence of heroin use (1.61% vs 0.33%) and related disorder (0.69% vs 0.21%) was significantly higher in 2012-2013 than in 2001-2002, with greater increases among white individuals. The proportion of individuals reporting initiation of nonmedical use of prescription opioids before heroin use increased across time among white users only.
The use of prescription opioids may have contributed to the greater increase in the prevalence of heroin use and related disorder observed among white individuals.
Heroin use is an urgent concern in the United States. Little is know about the course of heroin use, heroin use disorder, and associated factors.
To examine changes in the lifetime prevalence, patterns, and associated demographics of heroin use and use disorder from 2001-2002 to 2012-2013 in 2 nationally representative samples of the US adult general population.
Design, Setting, and Participants
This survey study included data from 43 093 respondents of the 2001-2002 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) and 36 309 respondents of the 2012-2013 NESARC-III. Data were analyzed from February 2 to September 15, 2016.
Main Outcomes and Measures
Lifetime heroin use and DSM-IV heroin use disorder.
Among the 79 402 respondents (43.3% men; 56.7% women; mean [SD] age, 46.1 [17.9] years), prevalence of heroin use and heroin use disorder significantly increased from 2001-2002 to 2012-2013 (use: 0.33% [SE, 0.03%] vs 1.6% [SE, 0.08%]; disorder: 0.21% [SE, 0.03%] vs 0.69% [SE, 0.06%]; P < .001). The increase in the prevalence of heroin use was significantly pronounced among white (0.34% [SE, 0.04%] in 2001-2002 vs 1.90% [SE, 0.12%] in 2012-2013) compared with nonwhite (0.32% [SE, 0.05%] in 2001-2002 vs 1.05% [SE, 0.10%] in 2012-2013; P < .001) individuals. The increase in the prevalence of heroin use disorder was more pronounced among white individuals (0.19% [SE, 0.03%] in 2001-2002 vs 0.82% [SE, 0.08%] in 2012-2013; P < .001) and those aged 18 to 29 (0.21% [SE, 0.06%] in 2001-2002 vs 1.0% [0.17%] in 2012-2013; P = .01) and 30 to 44 (0.20% [SE, 0.04%] in 2001-2002 vs 0.77% [0.10%] in 2012-2013; P = .03) years than among nonwhite individuals (0.25% [SE, 0.04%] in 2001-2002 vs 0.43% [0.07%] in 2012-2013) and older adults (0.22% [SE, 0.04%] in 2001-2002 vs 0.51% [SE, 0.07%] in 2012-2013). Among users, significant differences were found across time in the proportion of respondents meeting DSM-IV heroin use disorder criteria (63.35% [SE, 4.79%] in 2001-2001 vs 42.69% [SE, 2.87%] in 2012-2013; P < .001). DSM-IV heroin abuse was significantly more prevalent among users in 2001-2002 (37.02% [SE, 4.67%]) than in 2012-2013 (19.19% [SE, 2.34%]; P = .001). DSM-IV heroin dependence among users was similar in 2001-2002 (28.22% [SE, 3.95%]) and in 2012-2013 (25.02% [SE, 2.20%]; P = .48). The proportion of those reporting initiation of nonmedical use of prescription opioids before initiating heroin use increased across time among white individuals (35.83% [SE, 6.03%] in 2001-2002 to 52.83% [SE, 2.88%] in 2012-2013; P = .01).
Conclusions and Relevance
The prevalence of heroin use and heroin use disorder increased significantly, with greater increases among white individuals. The nonmedical use of prescription opioids preceding heroin use increased among white individuals, supporting a link between the prescription opioid epidemic and heroin use in this population. Findings highlight the need for educational campaigns regarding harms related to heroin use and the need to expand access to treatment in populations at increased risk for heroin use and heroin use disorder.
Heroin is an urgent concern in the United States.1,2 Risks associated with heroin use and addiction include mortality,3,4 overdose,1,5,6 infectious diseases,1,7 and impaired psychological status and social relationships.8 Increases in serious consequences of heroin use, including overdoses,9 emergency department visits,10 and public drug abuse treatment,11 have led to widespread concerns about a heroin epidemic.6 Although studies have addressed the link between use of prescription opioids (POs) and heroin,1,2,12-15 most information on trends in US adult heroin use is indirect, obtained through studies of its sequelae.10,11
Studies of trends in the consequences of heroin use, such as overdoses, are important. However, these studies do not provide information about underlying trends in the population burdens of heroin use and related disorders in US adults or in the characteristics and patterns of use among heroin users. For such trends, national survey data are needed. The National Survey on Drug Use and Health (NSDUH) is a potential source of such information. However, other than brief summaries,1,16,17 little has been published from NSDUH on trends in heroin use. Apart from the NSDUH, no studies known to us have addressed time trends in heroin consumption among US representative samples, including change over time in the prevalence of lifetime heroin use and heroin use disorders overall or patterns and characteristics of heroin use and related disorders among users (eg, age at onset, use frequency, disorder severity, types of abuse, or dependence symptoms endorsed). Using US adult national surveys conducted during 2001-2002 and 2012-2013, we addressed the following questions. First, did prevalence of lifetime heroin use and related disorders increase? Second, did demographic characteristics associated with lifetime heroin use and heroin use disorders change? Third, did patterns, severity, and substance comorbidity of heroin use and related disorders change?
We obtained data from the following 2 nationally representative face-to-face household surveys of adults 18 years and older residing in households and group quarters18,19: the 2001-2002 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) (n = 43 093), and the 2012-2013 NESARC-III (n = 36 309). NESARC and NESARC-III used similar multistage probability sampling designs with oversampling for Hispanic, black, and (in NESARC-III) Asian individuals.19-21 Survey weights were used to adjust for differential probabilities of participant selection and household and person-level nonresponse and adjusted sample margins to match key demographic distributions (eg, age, sex, and race) of each target population.19,22 NESARC and NESARC-III used computer-assisted interviews and highly trained interviewers. Response rates in NESARC (60.1%) and NESARC-III (81.0%) were comparable to those of other national surveys.23,24 Interviewer quality assurance methods were similar across surveys.22 The US Census Bureau and US Office of Management and Budget conducted a full ethical review and approved all protocols and study consent procedures for 2001-2002 NESARC. The 2012-2013 NESARC-III protocols and study consent procedures were approved by the institutional review boards of Westat and the National Institutes of Health. Respondents gave written informed consent and were compensated for participation.
The National Institute on Alcohol Abuse and Alcoholism Alcohol Use Disorder and Associated Disabilities Interview Schedule IV (AUDADIS-IV), a fully structured diagnostic interview designed for use by nonclinician interviewers after structured training, was used to assess substance use and psychiatric disorders according to DSM-IV criteria. In NESARC-III, the AUDADIS-5 was used to assess substance use and DSM-IV25 and DSM-526 criteria for substance use disorders.
Lifetime heroin use (ever vs never used heroin) was measured in both surveys and was included as a binary (yes or no) variable in our analyses. The reliability and validity of AUDADIS DSM-IV substance use disorder diagnoses have been well documented.27-40 We combined abuse and dependence because the criteria reflect a single disorder rather than 2 conditions.41 Symptom items (n = 30) that assessed DSM-IV heroin use disorder (abuse and dependence) in the NESARC and NESARC-III were virtually identical. However, 4 items were slightly reworded and 1 abuse item appeared in the NESARC but not the NESARC-III, whereas a different abuse item appeared in the NESARC-III but not the NESARC. Comparisons between DSM-IV heroin use disorder diagnoses with and without the additional questions yielded virtually identical prevalences (NESARC: 0.69% vs 0.68%; NESARC-III: 0.21% vs 0.21%), with corresponding near perfect or perfect concordance (κ = 0.998 and κ = 1.00, respectively), suggesting that these trivial differences could not account for the substantial differences in prevalence between the surveys.
Variables included age at first use, period of use (before the past 12 months only, past 12 months only, or both periods) and frequency of use during the heaviest-use period (every day or nearly every day or other). Heroin use disorder included use disorder overall, abuse, dependence, the abuse and dependence criteria, driving under the influence of heroin, and the number of lifetime heroin disorder criteria (0-1, 2-3, 4-5, and ≥6).
Lifetime use of other substances (sedatives or tranquilizers, stimulants, marijuana, cocaine or crack, hallucinogens, inhalants, POs, and other substances) on one’s own was included and measured identically across surveys. Because PO use is of special interest, we created a variable indicating whether nonmedical PO (NMPO) use among heroin users was initiated before heroin use.
Demographic characteristics, measured identically across surveys, included sex (male or female), age (18-29, 30-44, or ≥45 years), educational level (less than high school, high school, or some college or more), race/ethnicity (non-Hispanic white vs nonwhite [non-Hispanic black, Hispanic, Asian or Pacific Islander, or Native American]), marital status (unmarried; married or living as married; or widowed, separated, or divorced), urbanicity (in metropolitan statistical areas or other), region (Northeast, Midwest, South, or West, coded according to US Census definitions based on the location of participants’ residences), and federal poverty level (<100% [below poverty level], 100%-200%, and >200%). Federal poverty level was determined by family income and size and by federal poverty guidelines.42
Data were analyzed from February 2 to September 15, 2016. We combined NESARC and NESARC-III data to conduct repeated cross-sectional analyses, as was done previously to examine other trends in these surveys.22,43,44 We added a variable representing the survey from which the participant was included. Weighted prevalences were produced for full samples and by subgroups.
We conducted 3 sets of analyses. First, using separate models for each heroin outcome (lifetime use or lifetime use disorder) to estimate whether prevalences differed between surveys, we modeled survey year as associated with the outcome. Second, with logistic regression models, we tested associations between demographic variables and heroin use or heroin use disorder. Then, to test whether associations between demographic characteristics and the outcomes differed between surveys, we added an interaction term between the survey year and each demographic variable to all models. To assess differential associations on the prevalence scale, we first estimated prevalence differences between strata of the demographic variables (eg, male and female respondents) within each survey. We tested whether these prevalence differences differed between surveys (eg, male and female respondents in NESARC vs male and female respondents in NESARC-III) using pairwise t tests for independent samples. We estimated these prevalences and their SEs from model-predicted log-odds, back-transformed to the prevalence scale.45
Third, we estimated the distributions of variables corresponding to various aspects of severity and patterns of heroin use among heroin users in each survey. To test whether these distributions differed significantly between survey years, we used Wald χ2 tests (categorical variables) or Wald F tests (continuous variables), with P < .05 indicating significance. We used SUDAAN software (version 11.0.1)46 to incorporate the weights and complex design features of the surveys. Unless otherwise indicated, data are expressed as prevalence (SE).
The sample included 79 402 respondents (43.3% men; 56.7% women; mean [SD] age, 46.1 [17.9] years) of the NESARC and NESARC-III. Lifetime prevalence of heroin use increased from 2001-2002 (0.33% [0.03%]) to 2012-2013 (1.61% [0.08%]) overall and among all subgroups: 18 to 29 years of age (0.26% [0.07%] to 1.81% [0.21%]; P = .09), 30 to 44 years of age (0.36% [0.06%] to 1.75% [0.17%]; P = .21), and 45 years or older (0.35% [0.05%] to 1.46% [0.11%]). Past-year prevalence of heroin use also increased from 2001-2002 (0.03% [0.01%) to 2012-2013 (0.21% [0.03%]; P < .001).
Lifetime prevalence of heroin use disorder increased significantly from 2001-2002 (0.21% [0.03%]) to 2012-2013 (0.69% [0.06%]) overall and among all subgroups: 18 to 29 years of age (0.21% [0.06%] to 1.01% [0.17%]; P = .01), 30 to 44 years of age (0.20% [0.04%] to 0.77% [0.10%]; P = .03), and 45 years or older (0.22% [0.04%] to 0.51% [0.07%]). Increases in use and use disorder remained significant between surveys when adjusted by lifetime NMPO. Among men, prevalence of heroin use (0.52% [0.05%] to 2.41% [0.15%]) and use disorder (0.32% [0.04%] to 1.04% [0.11%]) increased more than among women (0.16% [0.03%] to 0.86% [0.07%] and 0.11% [0.03%] to 0.36% [0.40%], respectively; P < .001). In 2001-2002, white and nonwhite individuals had similar prevalences of heroin use (0.34% [0.04%] and 0.32% [0.05%], respectively); in 2012-2013, heroin use was significantly higher among white (1.90% [0.12%]) than nonwhite (1.05% [0.10%]; P < .001) individuals. Heroin use and use disorder increased more among previously married (0.48% [0.08%] to 2.33% [0.19%]; P < .001; and 0.30% [0.06%] to 0.88% [0.10%]; P = .01; respectively) and unmarried (0.51% [0.09%] to 2.29% [0.21%] and 0.38% [0.08%] to 1.30% [0.17%], respectively) than among married (0.23% [0.04%] to 1.10% [0.10%]; P < .001; and 0.13% [0.03%] to 0.38% [0.06%]; P = .002 respectively) respondents. Similar findings were observed among those with educational levels of less than high school (0.41% [0.09%] to 2.01% [0.23%]; P = .03; and 0.24% [0.07%] to 0.87% [0.16%]; P = .08; respectively) and no more than high school (0.39% [0.07%] to 2.15% [0.19%]; P = .003; and 0.29% [0.06%] to 1.11% [0.14%]; P = .003; respectively) compared with those who attained higher educational levels (0.28% [0.04%] to 1.30% [0.10%] and 0.16% [0.03%] to 0.47% [0.06%], respectively). For heroin use only, prevalence significantly increased among respondents at less than 100% of the federal poverty level (0.44% [0.11%] to 2.42% [0.22%]; P < .001) and those at 100% to 200% of the poverty level (0.42% [0.08%] to 1.95% [0.18%]; P = .008) compared with those not in poverty (0.28% [0.03%] to 1.22% [0.10%]) (Figure 1, Table 1, Table 2, and eTables 1 and 2 in the Supplement).
Lifetime prevalence of heroin use disorder among users decreased significantly from 2001-2002 (63.35% [4.79%]) to 2012-2013 (42.69% [2.87%]; P < .001). Although the prevalence of dependence and most of its criteria were stable across both surveys, DSM-IV heroin abuse was significantly less prevalent among users in 2012-2013 (19.19% [2.34%]) than in 2001-2002 (37.02% [4.67%]; P = .001), as were all 4 DSM-IV abuse criteria. These included role failure (21.40% [1.86%] vs 43.03% [4.89%]; P < .001), physically hazardous use (31.79% [2.54%] vs 47.46% [4.60%]; P = .005), legal problems (12.99% [1.91%] vs 23.58% [4.02%]; P = .02), and use persistence despite recurrent social problems (30.92% [2.50%] vs 52.10% [5.03%]; P < .001) (Figure 2 and Table 3).
The proportion of heroin users who reported no history of any other drug use increased between surveys (0 in 2001-2002 vs 2.10% [0.66%] in 2012-2013; P = .003) (Table 3). The proportion of those who ever drove under the influence of heroin decreased between surveys (42.07% [4.69%] vs 28.90% [2.18%]; P = .01). The proportion of individuals experiencing remission in heroin use and use disorder was similar in the 2001-2002 and 2012-2013 surveys (use, 90.73% [3.46%] vs 86.17% [2.18%]; P = .52; disorder, 88.86% [5.20%] vs 83.02% [3.38%]; P = .47). Frequency of NMPO use among individuals who used heroin and POs in their lifetime did not differ between surveys. In race-stratified analyses, white individuals were more likely to have initiated NMPO use before heroin (35.83% [6.03%] in 2001-2002 and 52.83% [2.88] in 2012-2013; P = .01), whereas nonwhite individuals were less likely to have initiated NMPO use before heroin (44.12% [7.60%] in 2001-2002 and 26.20% [3.95%] in 2012-2013; P = .04). A greater proportion of heroin users used heroin more than 100 times in 2001-2002 (51.12% [5.00%]) than in 2012-2013 (43.73% [2.45%]; P < .001).
In the 2012-2013 NESARC-III, 1.61% of US adults had ever used heroin, and 0.69% had ever met criteria for a heroin use disorder. Extrapolation from these results indicates that in 2012-2013, approximately 3 800 000 US adults used heroin at some point in their lifetime and approximately 1 615 000 US adults ever met criteria for lifetime heroin use disorder. Between the 2001-2002 NESARC and the 2012-2013 NESARC-III, the prevalence of lifetime heroin use increased almost 5-fold and the prevalence of lifetime heroin use disorder increased approximately 3-fold. The increase in the prevalence of lifetime heroin use disorder represented approximately 1 127 000 additional individuals with heroin use disorder in 2012 relative to 2001. Despite the decreased risk for heroin use disorder among users, the large increase in users led to an overall increased prevalence of heroin use disorder in the adult population.
The increases that we show in lifetime heroin use and use disorder are consistent with increases in heroin outcomes in several other studies during the same period. The NSDUH showed a 62.5% increase in the rates of heroin use and a 90% increase (from 1.0 to 1.9 per 1000 population) in the rates of past-year heroin use disorder.17 In addition, mortality associated with heroin overdoses increased 47 by 26% from 2000 to 2013-2014.48 Data from the Treatment Episode Data Sets show an increase in admissions due to heroin as the primary drug from 15% in 2003 to 19% in 2013.11 Our study expands on prior investigations by presenting change over time in the US national prevalence of lifetime heroin use and use disorders overall and among users by investigating patterns of use and characteristics associated with heroin use and related disorders.
Increases in heroin use and related disorders were particularly prominent among white individuals, leading to a significant race gap in lifetime heroin use by 2012-2013, consistent with other sources.17,49-51 In 2001-2002, only approximately one-third of white heroin users reported NMPO use before first using heroin, whereas in 2012-2013, more than half of white heroin users reported using NMPO before heroin. In contrast, fewer nonwhite users reported using POs before heroin in the 2012-2013 than in 2001-2002 periods. This demographic shift is parallel to increases in NMPOs use since 2002, which has occurred disproportionally among white individuals2,49-51 and could be attributed to the disparities in prescribing opioids to white patients, as shown in a meta-analysis.52 Increased availability and lower heroin prices in recent years may have contributed to increased heroin use.17,49,53,54 In the past decade, NMPO users have been at higher risk than nonusers for initiation of heroin use.51,55-57 We explored the association of lifetime heaviest frequency of NMPO use with the risk for heroin use in both surveys. Not surprisingly, the risk increased as frequency of NMPO use increased. However, the increase in the prevalence of heroin use occurred across NMPO use frequency categories in NESARC-III compared with NESARC, suggesting that factors other than increasingly frequent NMPO use contributed to the increase in heroin use in adults in the 2012-2013 period. Differential increases in lifetime heroin use among white adults persisted even after controlling for potential differential increases in lifetime NMPO use. Heroin use appears to have become more socially acceptable among suburban and rural white individuals, perhaps because its effects seem so similar to those of widely available POs.13 All these factors could contribute to increased prevalence of heroin use and use disorder among white users.
The sex gap in lifetime heroin use and use disorder widened from the 2001-2002 to 2012-2013 periods; use among men increased more than among women. Similar results were reported using NSDUH data.16,57 Changes in the heroin sex gap are consistent with those for marijuana.58,59 Changes in exposure to risk factors for heroin may explain the widening heroin sex gap. For example, men may have been more affected by economic stressors than women (eg, low manufacturing employment rates60 leading to greater increases in male heroin use).
Although heroin use is now more widespread among individuals of all socioeconomic strata (Table 1 and eTable 1 in the Supplement) and among those with stronger bonds to social institutions,61 relative increases in heroin use and use disorder across time were greater among less educated and poorer individuals. These trends are concerning because increases in the prevalence of heroin use and use disorder have been occurring among vulnerable individuals who have few resources to overcome problems associated with use.62,63 No differences in prevalence of heroin use were found by age. However, in NESARC-III, the prevalence of heroin use disorders was significantly higher among younger than older aged (≥45 years) groups.
The proportion of heroin users with a lifetime heroin use disorder decreased between the 2 surveys, primarily owing to decreases in DSM-IV abuse criteria. Some subgroups of heroin users (those with greater resources and infrequent users) might be less likely to develop milder abuse symptoms. However, if the prevalence of heroin use continues to increase, the numbers of those with heroin use disorders will likely increase as well.
No NESARC participants and 2.1% of NESARC-III participants reported that heroin was the only illicit drug they had used. Although this result may seem surprising, it is consistent with reports that some individuals transition from use of POs to heroin with no history of other drug use besides POs.49
NESARC and NESARC-III lacked biological testing for substances and excluded homeless and incarcerated individuals. Including these populations would likely increase the overall prevalence of heroin use and use disorder.64,65 Because overall66 and drug-related67,68 adult incarceration rates did not increase during the decade between surveys, they should be comparable in covering heroin users in the adult general population, and reports of time trends are unlikely to be biased. The AUDADIS-5 interviewers were not clinicians, but a NESARC-III validation substudy comparing AUDADIS and clinician diagnoses of lifetime heroin use disorder showed nearly identical prevalence and good concordance.69 The NESARC-III response rate was acceptable (60.1%) but lower than the NESARC rate (81.0%). Weighting that compensated for nonresponse facilitated comparisons between the surveys. Surveys with lower response rates may miss more substance abusers,70 potentially leading to lower prevalence. If this occurred in NESARC-III, the NESARC and NESARC-III differences reported herein may underestimate the true differences. In addition, employers of NESARC and NESARC-III interviewers were different (Census and Westat, respectively); whether this difference affected participant responses is unknown. However, NESARC and NESARC-III were presented to respondents as voluntary surveys conducted under the auspices of the US government, possibly mitigating this difference. The validity of increases shown between NESARC and NESARC-III is supported by their coherence with the other aforementioned studies, which show increases in heroin-related variables during the same period (eg, overdoses, treatment). Also, the study did not examine NESARC and NESARC-III differences by DSM-5 severity levels. The DSM-5 heroin use disorder criteria, published in 2013, were not known in 2001, and not all DSM-5 criteria were included in the 2001-2002 NESARC. Finally, NESARC surveys only provide assessments at 2 points, and we do not have information on fluctuations and trends in heroin use and related disorder between both periods.
We focused on associations with lifetime use, lifetime disorder, and patterns of lifetime disorder across time, which are important population parameters, particularly for very rare conditions such as heroin outcomes in the general population. For very rare conditions (eg, any heroin outcome in the general population), examining lifetime cases may be the only way to determine demographic and clinical correlates and patterns of use during the life course, which simply cannot be estimated from small numbers of survey participants with current heroin use or use disorders. Furthermore, lifetime heroin use prevalence represents the burden on a population of a highly risky behavior for which sequelae often persist even after cessation of use of that particular drug.
Limitations are balanced by numerous strengths, including use of AUDADIS in both surveys and assessment of more than 79 000 participants. Study data provide unique information on time trends during a period when changes associated with heroin use patterns occurred (eg, increase in white users, lower prevalence of heroin use disorder in recent years).13,49 Study findings provide context for further investigation of how demographic, clinical, and other risk factors for heroin use and heroin use disorders may have changed over time. Continued monitoring of such time trends is an important public health priority.
The prevalences of heroin use and use disorder have increased significantly in the US adult general population since the beginning of this millennium. Of note, increases have been greatest among men, white individuals, those with low income and educational levels, and, for heroin use disorder, younger individuals. To curb the heroin epidemic, particularly among younger adults, collective prevention and intervention efforts may be most effective.71 Promising examples include expansion of access to medication-assisted treatment (including methadone hydrochloride, buprenorphine hydrochloride, or injectable naltrexone hydrochloride), educational programs in schools and community settings,72 overdose prevention training in concert with comprehensive naloxone hydrochloride distribution programs,73 and consistent use of prescription drug monitoring programs that implement best practices by prescribers.74,75 Efforts may be most efficient if concentrated in states acutely affected by the opioid epidemic, as noted in President Obama’s Comprehensive Addiction Recovery Act signed in July 2016.71 Although many parallels have been identified between increases in the PO epidemic and in heroin use and its consequences, NMPO use has decreased recently, whereas heroin use and related disorders continue to increase.17,49 Understanding these diverging trends is an important public health challenge that must be met to halt further increases.
Corresponding Author: Silvia S. Martins, MD, PhD, Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W 168th St, Room 509, New York, NY (firstname.lastname@example.org).
Accepted for Publication: November 1, 2016.
Correction: This article was corrected on August 23, 2017, to correct errors on the x axes in Figure 2.
Published Online: March 29, 2017. doi:10.1001/jamapsychiatry.2017.0113
Author Contributions: Dr Grant had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
Study concept and design: Martins, Sarvet, Saha, Hasin.
Acquisition, analysis, or interpretation of data: All authors.
Drafting of the manuscript: Martins, Sarvet, Santaella-Tenorio, Grant, Hasin.
Critical revision of the manuscript for important intellectual content: Sarvet, Santaella-Tenorio, Saha, Hasin.
Statistical analysis: Sarvet, Grant.
Obtained funding: Martins.
Administrative, technical, or material support: Santaella-Tenorio, Saha, Hasin.
Study supervision: Martins, Sarvet, Hasin.
Conflict of Interest Disclosures: Dr Hasin reports serving as the principal investigator of a study on a measure of addiction to prescription opioids funded by InVentive Health Consulting, which combines support from 9 pharmaceutical companies. No other disclosures were reported.
Funding /Support: The National Epidemiologic Survey on Alcohol and Related Conditions (NESARC and NESARC-III) was sponsored by the National Institute on Alcohol Abuse and Alcoholism (NIAAA), with supplemental support from the National Institute on Drug Abuse. This study was supported by grants R01DA 037866 (Dr Martins) and R01DA034244 (Dr Hasin) from the National Institute on Drug Abuse; by the New York State Psychiatric Institute (Dr Hasin); by the intramural program, NIAAA, National Institutes of Health; and by the J. William Fulbright and the Colciencias doctoral scholarships (Dr Santaella-Tenorio).
Role of the Funder/Sponsor: The funding sources had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
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 or agencies or the US government.
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