Dataset Information

Age-related patterns in nonmedical prescription opioid use and disorder in the US population at ages 12-34 from 2002 to 2014.

ABSTRACT: To estimate age-related patterns in nonmedical prescription opioid (NMPO) use in the US population and disorder among past-year users at ages 12-34 between 2002 and 2014, controlling for period and birth-cohort effects.Data are from 13 consecutive cross-sectional National Surveys on Drug Use and Health (N=542,556). Synthetic longitudinal cohorts spanning ages 12-34 were created and an age-period-cohort analysis was implemented based on the Intrinsic Estimator algorithm.In every birth cohort, past-year NMPO use increases during adolescence, peaks at ages 18-21, decreases through ages 30-34; disorder among past-year users increases from ages 18-21 through 30-34. Use at ages 12-34 decreased from the 1984-87 birth cohorts to more recently-born cohorts. Peak prevalence of use at ages 18-21 has also decreased, and the rates of increase from ages 14-17 to ages 18-21 are slowing down. Disorder at ages 18-34 increased from the 1976-79 to 1992-95 cohorts, but decreased at ages 12-17 from the 1992-95 to the most recently-born 2000-02 cohorts. The years 2010-2014 were characterized by lower NMPO use but higher disorder than 2002-2009.Increasing NMPO disorder among users aged 18-34 warrants concern. However, declining NMPO use among 12-34 year-olds, a declining rate of increase from adolescence to early adulthood, and a suggestive decline in disorder among the most recent adolescent cohorts may forecast a potential reduction in the public health crisis associated with NMPO drugs.

SUBMITTER: Hu MC

PROVIDER: S-EPMC5568606 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature

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Age-related patterns in nonmedical prescription opioid use and disorder in the US population at ages 12-34 from 2002 to 2014.

Hu Mei-Chen MC Griesler Pamela P Wall Melanie M Kandel Denise B DB

Drug and alcohol dependence 20170524

<h4>Objectives</h4>To estimate age-related patterns in nonmedical prescription opioid (NMPO) use in the US population and disorder among past-year users at ages 12-34 between 2002 and 2014, controlling for period and birth-cohort effects.<h4>Methods</h4>Data are from 13 consecutive cross-sectional National Surveys on Drug Use and Health (N=542,556). Synthetic longitudinal cohorts spanning ages 12-34 were created and an age-period-cohort analysis was implemented based on the Intrinsic Estimator a ...[more]

PMID: 28622626

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Project description:ImportanceBetween 1997 and 2017, the United States saw increases in nonmedical prescription opioid use and its consequences, as well as changes in marijuana policies. Ecological-level research hypothesized that medical marijuana legalization may reduce prescription opioid use by allowing medical marijuana as an alternative.ObjectivesTo investigate the association of state-level medical marijuana law enactment with individual-level nonmedical prescription opioid use and prescription opioid use disorder among prescription opioid users and to determine whether these outcomes varied by age and racial/ethnic groups.Design, setting, and participantsThis cross-sectional study used restricted data on 627 000 individuals aged 12 years and older from the 2004 to 2014 National Survey on Drug Use and Health, a population-based survey representative of the civilian population of the United States. Analyses were completed from March 2018 to May 2018.ExposuresTime-varying indicator of state-level medical marijuana law enactment (0 = never law enactment, 1 = before law enactment, and 2 = after law enactment).Main outcomes and measuresPast-year nonmedical prescription opioid use and prescription opioid use disorder among prescription opioid users. Odds ratios of nonmedical prescription opioid use and prescription opioid use disorder comparing the period before and after law enactment were presented overall, by age and racial/ethnic group, and adjusted for individual- and state-level confounders.ResultsThe study sample included 627 000 participants (51.51% female; 9.88% aged 12-17 years, 13.30% aged 18-25 years, 14.30% aged 26-34 years, 25.02% aged 35-49 years, and 37.50% aged ≥50 years; the racial/ethnic distribution was 66.97% non-Hispanic white, 11.83% non-Hispanic black, 14.47% Hispanic, and 6.73% other). Screening and interview response rates were 82% to 91% and 71% to 77%, respectively. Overall, there were small changes in nonmedical prescription opioid use prevalence after medical marijuana law enactment (4.32% to 4.86%; adjusted odds ratio, 1.13; 95% CI, 1.06-1.20). Prescription opioid use disorder prevalence among prescription opioid users decreased slightly after law enactment, but the change was not statistically significant (15.41% to 14.76%; adjusted odds ratio, 0.95; 95% CI, 0.81-1.11). Outcomes were similar when stratified by age and race/ethnicity.Conclusions and relevanceThis study found little evidence of an association between medical marijuana law enactment and nonmedical prescription opioid use or prescription opioid use disorder among prescription opioid users. Further research should disentangle the potential mechanisms through which medical marijuana laws may reduce opioid-related harm.

Project description:ImportanceThere is concern that nonmedical prescription opioid use is associated with an increased risk of later heroin use initiation in adolescents, but to our knowledge, longitudinal data addressing this topic are lacking.ObjectiveTo determine whether nonmedical prescription opioid use is associated with subsequent initiation of heroin use in adolescents.Design, setting, and participantsThis prospective longitudinal cohort study conducted in 10 high schools in Los Angeles, California, administered 8 semiannual surveys from 9th through 12th grade that assessed nonmedical prescription opioid use, heroin use, and other factors from October 2013 to July 2017. Students were baseline never users of heroin recruited through convenience sampling. Cox regression models tested nonmedical prescription opioid use statuses at survey waves 1 through 7 as a time-varying and time-lagged regressor and subsequent heroin use initiation across waves 2 to 8 as the outcome.ExposuresSelf-reported nonmedical prescription opioid use (past 30-day [current] use vs past 6-month [prior] use without past 30-day use vs no past 6-month use) at each wave from 1 to 7.Main outcomes and measuresSelf-reported heroin use initiation (yes/no) during waves 2 to 8.ResultsOf 3298 participants, 1775 (53.9%) were adolescent girls, 1563 (48.3%) were Hispanic, 548 (17.0%) were Asian, 155 (4.8%) were African American, 529 (16.4%) were non-Hispanic white, and 220 (6.8%) were multiracial. Among baseline never users of heroin in ninth grade with valid data (3298 [97% of cohort enrollees]; mean [SD] age, 14.6 [0.4] years), the number of individuals with outcome data available at each follow-up ranged from 2987 (90.6%) to 3200 (97.0%). The mean per-wave prevalence of prior and current nonmedical prescription opioid use from waves 1 to 7 was 1.9% and 2.7%, respectively. Seventy students (2.1%) initiated heroin use during waves 2 to 8. Prior vs no (hazard ratio, 3.59; 95% CI, 2.14-6.01; P?<?.001) and current vs no (hazard ratio, 4.37; 95% CI, 2.80-6.81; P?<?.001) nonmedical prescription opioid use were positively associated with subsequent heroin use initiation. For no, prior, and current nonmedical prescription opioid use statuses at waves 1 to 7, the estimated cumulative probabilities of subsequent heroin use initiation by wave 8 (42-month follow-up) were 1.7%, 10.7%, and 13.1%, respectively. In covariate-adjusted models, associations were attenuated but remained statistically significant and current nonmedical prescription opioid use risk estimates were stronger than corresponding associations of nonopioid substance use with subsequent heroin use initiation.Conclusions and relevanceNonmedical prescription opioid use was prospectively associated with subsequent heroin use initiation during 4 years of adolescence among Los Angeles youth. Further research is needed to understand whether this association is causal.

Project description:Importance:Nonmedical prescription opioid use is a pressing public health issue in the United States. Transgender youth, including adolescent girls and young women who were assigned male at birth and currently identify as women, female, transgender women, or another diverse gender identity along the transfeminine gender spectrum, are more likely than their cisgender peers to report illicit substance use and meet diagnostic criteria for substance use disorders. However, relatively little is known about the experiences of these populations in the current era of opioid addiction and misuse. Objective:To report the prevalence of and risk factors associated with lifetime nonmedical prescription opioid use in a high-risk community sample of transgender adolescent girls and young women who are sexually active. Design, Setting, and Participants:This cross-sectional study used 2012 to 2015 baseline data from Project LifeSkills, a randomized clinical trial of a behavioral intervention to reduce the risk of HIV acquisition and transmission among a diverse sample of transgender adolescent girls and young women recruited from Boston, Massachusetts, and Chicago, Illinois. A total of 297 transgender girls and women aged 16 to 29 years who were sexually active were included in this analysis. Data were analyzed from June 2019 to August 2019. Exposures:Transgender woman identification. Main Outcomes and Measures:Self-reported lifetime nonmedical prescription opioid use. Results:Among 297 transgender adolescent girls and young women (mean [SD] age, 23.4 [3.5] years), 145 (48.8%) identified as non-Hispanic/Latinx black, 76 (25.6%) identified as non-Hispanic/Latinx white, 37 (12.5%) identified as Hispanic/Latinx, 7 (2.4%) identified as non-Hispanic/Latinx Asian, and 32 (10.8%) identified as multiracial or other race/ethnicity. Thirty-five participants (11.8%) reported lifetime nonmedical prescription opioid use. Young transgender women who smoked cigarettes monthly or less (adjusted odds ratio, 3.92; 95% CI, 1.10-13.89) and who smoked daily (adjusted odds ratio, 5.69; 95% CI, 1.87-17.33) had greater odds of nonmedical prescription opioid use compared with those who did not smoke. Additionally, participants who identified as a sexual orientation other than heterosexual, gay, lesbian, or bisexual had significantly greater odds of lifetime nonmedical prescription opioid use compared with those who identified as heterosexual (adjusted odds ratio, 3.69; 95% CI, 1.07-12.72). Conclusions and Relevance:These findings suggest that transgender adolescent girls and young women have similar prevalence of lifetime nonmedical prescription opioid use compared with the US general population prevalence of 12.5%. These findings may serve as a call-to-action for public health surveillance studies and evidence-based interventions to be comprehensively tailored to examine and respond to specific trends of substance use, particularly opioid use disorder, among transgender populations.

Project description:Background and aimsIn the United States, the availability of prescription opioids has decreased in recent years. Whether there have been corresponding changes in the likelihood of people with prescription opioid use disorder (POUD) to engage in illegal behaviors related to drug use remains unknown. We examined changes in prevalence of illegal behaviors between people with and without POUD over time, and how transactions for obtaining opioids have changed among people with POUD over time.DesignTemporal trend analysis of repeated cross-sectional data.SettingUnited States household dwelling population from all 50 states and District of Columbia.ParticipantsAdult subsamples from the 2002-14 National Survey of Drug Use and Health (n = 5393 people with POUD; n = 486?768 people without POUD).MeasurementsOutcome variables were selected illegal behaviors and sources of opioids used non-medically. POUD was defined using the Diagnostic and Statistical Manual of Mental Disorders, 4th edition, criteria. Time was treated as a continuous variable. The variable of interest for each illegal behavior analysis was the interaction between POUD diagnosis and time. Covariates included age, sex and race/ethnicity.FindingsDuring the 13-year period examined, the adjusted interaction odds ratio (AIOR) describing the change in association between POUD and selling illicit drugs increased by a factor of 2.41 [95% confidence interval (CI) = 1.56-3.71, P < 0.001]. Similar trends were noted for stealing (AIOR = 2.12, 95% CI = 1.31-3.44, P = 0.002) and for life-time history of arrest (AIOR = 1.53, 95% CI = 1.06-2.19, P = 0.021). People with POUD became less likely to receive opioids for free from friends and family [adjusted odds ratio (AOR) = 0.42, 95% CI = 0.25-0.71, P = 0.001] and more likely to buy them from friends and family (AOR = 3.29, 95% CI = 1.76-6.13, P < 0.001) from 2005 to 2014.ConclusionsIn the United States, against a backdrop of a decreasing prescription opioid supply, rates of some crimes potentially related to drug use increased among people with prescription opioid use disorder compared with those without prescription opioid use disorder from 2002 to 2014.

Dataset Information

Age-related patterns in nonmedical prescription opioid use and disorder in the US population at ages 12-34 from 2002 to 2014.

Publications

Age-related patterns in nonmedical prescription opioid use and disorder in the US population at ages 12-34 from 2002 to 2014.

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