Evidence map›Paper›PMID 41146453›Full record

ArticleSubstance use & addiction journal2026

Latent Classes of Nonmedical Prescription Tranquilizer Use Motives in US Adolescents and Young Adults.

Ty S Schepis, Philip T Veliz, Brady T West, Jason A Ford, Sean Esteban McCabe

Abstract read
In one paragraph

Article in Substance use & addiction journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ty S SchepisDepartment of Psychology, Texas State University, San Marcos, TX, USA.ORCID 0000-0003-3655-0496
Philip T VelizCenter for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, University of Michigan, Ann Arbor, MI, USA.
Brady T WestCenter for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, University of Michigan, Ann Arbor, MI, USA.
Jason A FordCenter for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, University of Michigan, Ann Arbor, MI, USA.
Sean Esteban McCabeCenter for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-9622-4652

Funding

Trajectories of Prescription Nonmedical Drug MisuseR01DA031160 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SEAN ESTEBAN MCCABE · 2011 to 2026
$3.7M
Smoking and Cancer-Related Health Disparities among Sexual and Gender Minority AdultsR01CA276500 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Philip T Veliz · 2024 to 2026
$2.4M
Prescription Drug Misuse Characteristics in Adolescents and Young Adults: Influence of School EnrollmentR01DA043691 · NIDA · TEXAS STATE UNIVERSITY · PI TY Stephen SCHEPIS · 2017 to 2026
$1.8M
NCI NIH HHS R01 CA276500NIDA NIH HHS R01 DA031160NIDA NIH HHS R01 DA043691NIH HHS P50DA05403901
6 · The paper itself

Abstract

backgroundAdolescent (12-17 years) and young adult (18-25 years) nonmedical use of prescription tranquilizer medication (ie, short-acting benzodiazepines) is linked to high rates of other substance use and psychopathology. Using probability-based US survey data, we sought to identify nonmedical tranquilizer use motive latent classes by age group and identified links between latent class membership and other substance use and mental health outcomes.

methodsData were from the 2015 to 2019 National Survey on Drug Use and Health (67 971 adolescents; 69 432 young adults), with motive data from 889 unweighted adolescents and 2819 unweighted young adults. Latent class analysis identified subgroups based on motives, accounting for the complex sampling, and with the most likely class membership assigned via a modal approach. Logistic regression linked latent class membership to substance use, mental health, and sociodemographic characteristics.

resultsAnalyses revealed 5 adolescent latent classes: Relax (35.0%), Multi-Motive (26.3%), Experimenter (22.0%), Sleep (9.2%), and Emotional Coping (7.4%). There were also 7 young adult classes: Relax (30.2%), Sleep (18.8%), Multi-Motive/High (17.1%), Experimenter (13.9%), Emotional Coping/Relax (12.8%), Multi-Motive/Self-Treatment (4.8%), and Other Drug Enhancement (2.4%). Within those engaged in nonmedical use, the adolescent and young adult multi-motive classes with frequent endorsement of "to get high" had the highest odds of other substance use and mental health concerns.

conclusionLatent class profiles based on nonmedical tranquilizer use motives differ between adolescents and young adults, though the Multi-Motive classes with frequent endorsement of "to get high" are in greatest need of identification and intervention.

Indexed as

MotivationPrescription Drug MisuseSubstance-Related DisordersTranquilizing AgentsAdolescentAdultChildFemaleHumansLatent Class AnalysisMaleUnited StatesYoung AdultTranquilizing Agentsadolescentsanxiolyticmotivenonmedical prescription drug useyoung adults

Identifiers

PMID41146453
PMCPMC12931097

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.