Five Distinct Patterns of Prescription Drug Misuse Sources Identified Among US Teens

A nationally representative analysis of over 18,000 US high school seniors reveals that where adolescents obtain misused prescription drugs clusters into five distinct patterns, each associated with different demographic profiles and levels of broader substance use involvement, though the cross-sectional design limits all findings to associations rather than causal conclusions.

Why This Matters

Nonmedical use of prescription drugs among adolescents remains a persistent public health concern, contributing to emergency department visits, substance use escalation, and opioid-related harms. Prevention efforts have historically treated all prescription drug misuse as a single behavior, but the reality is more heterogeneous. Understanding that teens who misuse prescription drugs obtain them through meaningfully different channels, and that these channels correspond to different risk profiles, could allow clinicians and public health programs to target interventions more precisely. This research arrives as prescriber education and household medication disposal remain active policy levers.

Clinical Summary

Nonmedical use of prescription drugs (NMUPD) among adolescents involves opioids, stimulants, and anxiolytics obtained through channels ranging from personal leftover prescriptions to purchasing from dealers. This study, published using pooled data from the Monitoring the Future survey (2009 to 2016), applied design-based latent class analysis to a nationally representative sample of 18,549 US high school seniors, focusing on 1,917 who reported past-year NMUPD. The analytic approach sought to identify naturally occurring subgroups defined by co-occurring drug source patterns rather than treating source as a single variable, and then examined how these subgroups differed by sex, race, motives for use, and concurrent substance involvement.

Five latent classes emerged: friend or relative sources, friend or purchased sources, own leftover prescription, multiple sources, and other sources. Notably, 44.2% of NMUPD users obtained drugs from more than one source simultaneously. Boys were overrepresented in the friend or purchased class, while girls clustered disproportionately in the own-leftover-prescription class, which was also associated with the lowest rates of polysubstance use. The multiple-sources class showed the highest rates of binge drinking, cigarette smoking, and marijuana use. White students were significantly overrepresented among NMUPD users relative to the full sample. The cross-sectional design prevents any determination of whether source patterns drive, result from, or merely co-occur with these behavioral differences. The authors note that longitudinal data would be needed to establish temporal or causal ordering.

Dr. Caplan’s Take

This study does something genuinely useful by moving beyond the question of whether teens misuse prescription drugs to how they get them and what that tells us about their broader risk profile. The five-class solution is intuitive and clinically recognizable. The finding that teens using their own leftover prescriptions look meaningfully different from those purchasing through social networks confirms what many of us see in practice. But these are patterns in survey data, not clinical risk algorithms. When a parent asks me whether their child’s access to leftover medication at home is “safer” than other routes, the honest answer is that this study suggests lower concurrent substance use in that group, but it cannot tell us what happens next.

In practice, I use findings like these to inform how I talk with families about medication storage and disposal, particularly after surgical procedures or short-term prescriptions for controlled substances. For adolescents already presenting with substance use concerns, I ask specifically about sources, because the profile of a teen buying stimulants from a classmate differs from one taking leftover opioids from a medicine cabinet. That distinction shapes the conversation, even if it does not yet come with a validated clinical pathway.

Clinical Perspective

This study sits early in the research arc for person-centered analyses of adolescent prescription drug misuse. It confirms prior variable-centered findings that multiple-source access is associated with greater substance use severity, and it extends them by demonstrating that source patterns cluster in identifiable ways linked to sex and motive. What it does not do is establish whether intervening on source access would reduce harm, or whether source patterns are stable over time. For patient-facing conversations, clinicians can reasonably use these findings to frame household medication management discussions, but the evidence does not support using source pattern as a standalone screening or risk-stratification tool.

From a pharmacological and safety standpoint, the three drug classes examined, opioids, stimulants, and anxiolytics, carry distinct overdose and interaction risks, and the study’s aggregation across classes means that source patterns specific to any one drug type remain unclear. Benzodiazepine-opioid co-ingestion, for instance, carries particular lethality risk that a source-pattern analysis cannot address. The most actionable recommendation clinicians can implement now is to routinely counsel families on secure storage and timely disposal of all controlled-substance prescriptions, particularly following acute prescribing episodes, while screening adolescent patients about where and from whom they access substances.

Study at a Glance

Study Type

Repeated cross-sectional, multicohort pooled analysis using design-based latent class analysis

Population

US high school seniors (N=18,549 total; n=1,917 past-year NMUPD users), nationally representative

Intervention

Not applicable (observational, descriptive study)

Comparator

Five latent classes compared with each other on demographic and substance use variables

Primary Outcomes

Latent class membership by NMUPD source patterns; associations with sex, race, motives, and concurrent substance use

Sample Size

18,549 (full sample); 1,917 (analytic subpopulation)

Data Source

Monitoring the Future (MTF), Form 1 questionnaire, 2009 to 2016

Journal

Not specified in extracted data

Year

Based on 2009 to 2016 survey data

DOI or PMID

Not available in extracted data

Funding Source

Not specified in extracted data

What Kind of Evidence Is This

This is a cross-sectional analysis of pooled, nationally representative survey data using latent class analysis to identify subgroups. It sits in the descriptive and hypothesis-generating tier of the evidence hierarchy. The single most important inference constraint is that cross-sectional design precludes any causal or temporal ordering: the study can identify associations between source patterns and substance use behaviors, but it cannot determine whether one drives the other or whether both reflect an unmeasured common factor.

How This Fits With the Broader Literature

Prior research has documented that adolescents obtain prescription drugs from diverse sources, with studies by McCabe and colleagues consistently showing that social sources (friends and family) predominate. This analysis extends that work by applying a person-centered analytic framework, demonstrating that sources co-occur in patterned ways rather than functioning independently. The finding that multiple-source access tracks with greater substance use involvement aligns with earlier variable-centered studies showing dose-response relationships between number of sources and severity of use. The sex-differentiated findings are consistent with broader adolescent substance use literature showing that girls are more likely to misuse medications from medical contexts while boys are more likely to engage in market-based acquisition. What remains absent from the literature is longitudinal evidence establishing whether source patterns predict escalation or whether they are merely markers of concurrent risk.

Common Misreadings

The most likely overinterpretation is concluding that source of access causes differences in substance use severity, and therefore that eliminating a particular source would reduce harm. The cross-sectional design makes this inference unsupported. Adolescents who obtain drugs from multiple sources may do so because they are already more deeply involved in substance use, not the reverse. Similarly, the finding that the own-leftover-prescription class shows lower polysubstance involvement should not be read as evidence that this source is “safe.” Lower concurrent use does not mean low risk, and any nonmedical use of controlled substances carries meaningful clinical concern.

Bottom Line

This nationally representative study demonstrates that prescription drug misuse among US high school seniors is not a uniform behavior: where teens get drugs clusters into five identifiable patterns linked to sex and broader substance involvement. These findings are descriptive and hypothesis-generating. They support more nuanced clinical conversations about source access and household medication management but do not establish causal pathways or validate source-based risk stratification for clinical use.

References

1. McCabe SE, West BT, Boyd CJ. Source patterns of nonmedical use of prescription drugs among US high school seniors. Monitoring the Future study, 2009-2016 pooled data. (Full citation details not available in extracted data.)
2. Monitoring the Future Study. National Institute on Drug Abuse. Survey methodology and sampling design documentation. Available at: https://monitoringthefuture.org.
3. McCabe SE, West BT, Teter CJ, Boyd CJ. Trends in medical use, diversion, and nonmedical use of prescription medications among college students from 2003 to 2013: connecting the dots. Addictive Behaviors. 2014;39(7):1176-1182. PMID: 24727278.