Evidence map›Paper›PMID 34982159›Full record

ArticleJAMA network open2022

Trajectories of Prescription Drug Misuse Among US Adults From Ages 18 to 50 Years.

Sean Esteban McCabe, John E Schulenberg, Ty S Schepis, Rebecca J Evans-Polce, Timothy E Wilens, Vita V McCabe, Philip T Veliz

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Trial
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  9. Clinician Views of an Opioid Prescribing Report with Peer Comparisons and Patient-Reported Outcomes.American journal of medical quality : the official journal of the American College of Medical Quality
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Sean Esteban McCabeCenter for the Study of Drugs, Alcohol, Smoking and Health, University of Michigan, Ann Arbor.
John E SchulenbergCenter for the Study of Drugs, Alcohol, Smoking and Health, University of Michigan, Ann Arbor.
Ty S SchepisCenter for the Study of Drugs, Alcohol, Smoking and Health, University of Michigan, Ann Arbor.
Rebecca J Evans-PolceCenter for the Study of Drugs, Alcohol, Smoking and Health, University of Michigan, Ann Arbor.
Timothy E WilensCenter for the Study of Drugs, Alcohol, Smoking and Health, University of Michigan, Ann Arbor.
Vita V McCabeCenter for the Study of Drugs, Alcohol, Smoking and Health, University of Michigan, Ann Arbor.
Philip T VelizCenter for the Study of Drugs, Alcohol, Smoking and Health, University of Michigan, Ann Arbor.
University of Michigan–Ann Arbor · USInstitute for Women's Policy Research · USHarvard University · USTexas State University · US

Funding

Monitoring the Future: Drug Use & Lifestyles of American Youth (Supp1: Nicotine Pouch and E-cigarette Use Among US Adolescents: National Estimates of Brand Use and Flavor Preferences)R01DA001411 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Richard A Miech · 1985 to 2026
$144.9M
Monitoring the Future: A Cohort-Sequential Panel Study of Drug Use, Ages 19-65 - Diversity Supplement (Solberg)R01DA016575 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Megan E. Patrick · 2003 to 2026
$44.6M
Scientific/Technical CoreP2CHD041028 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sarah A. Burgard · 2017 to 2026
$6.5M
Trajectories of Prescription Nonmedical Drug MisuseR01DA031160 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SEAN ESTEBAN MCCABE · 2011 to 2026
$3.7M
Does Treating Young Persons Psychopathology Prevent the Onset of Opioid and other Substance Use Disorders?UH3DA050252 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI WILENS, TIMOTHY E, YULE, AMY · 2020 to 2020
$3.0M
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
Longitudinal Changes in Recovery from Drug Use Disorders: A National StudyR01DA036541 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MCCABE, SEAN ESTEBAN · 2015 to 2017
$647k
Nonmedical prescription drug misuse among US older adults: subtypes,motives, and diversion sourcesR01DA042146 · NIDA · TEXAS STATE UNIVERSITY · PI SCHEPIS, TY STEPHEN · 2017 to 2021
$548k
NICHD NIH HHS P2C HD041028NIDA NIH HHS R01 DA001411NIDA NIH HHS R01 DA016575NIDA NIH HHS R01 DA031160NIDA NIH HHS R01 DA036541NIDA NIH HHS R01 DA042146NIDA NIH HHS R01 DA043691NIDA NIH HHS UH3 DA050252
6 · The paper itself

Abstract

Importance: US adults born from 1965 to 1996 had high exposure to controlled medications, yet little is known about how this exposure has affected them over time. Prescription drug misuse (PDM) has increased among adults in the past 2 decades, with related increases in emergency department visits, overdoses, and deaths. Objectives: To identify 32-year PDM trajectories involving opioids, stimulants, and sedatives or tranquilizers and to examine associations between these PDM trajectories and substance use disorder (SUD) symptoms in adulthood as well as between baseline characteristics and PDM trajectories. Design, Setting, and Participants: This cohort study included 11 cohorts of adolescents who were followed up longitudinally from age 18 years (study start, 1976-1986) to age 50 years (2008-2018) in the Monitoring the Future (MTF) study, which included a national multistage random sample of US 12th grade students. Baseline surveys (modal age 18) were self-administered in classrooms. Ten follow-ups were conducted by mail. Data analysis was conducted from December 2020 to October 2021. Main Outcomes and Measures: Sociodemographic variables were measured at baseline. PDM and SUD symptoms were measured at baseline and every follow-up. Latent profile analysis (LPA) was used to create PDM trajectory profiles. Associations between these PDM trajectories, SUD symptoms, and baseline sociodemographic characteristics were examined. Results: The sample of 26 575 individuals was 50.8% (95% CI, 50.2%-51.4%) female and 79.3% (95% CI, 78.8%-79.8%) White. The baseline response rate ranged from 77% to 84%, and the 32-year retention rate was 53%. In adjusting for attrition, 45.7% (95% CI, 44.9%-46.4%) of the respondents reported past-year PDM at least once during the 32-year reporting period. Among those who reported PDM, the prevalence of poly-PDM was 40.3% (95% CI, 39.3%-41.3%). Based on LPA, the number of class-specific PDM trajectories ranged from 4 (prescription opioids) to 6 (prescription stimulants). For the class-combined analyses, we identified 8 PDM trajectories consisting of early peak trajectories (eg, age 18 years), later peak trajectories (eg, age 40 years), and a high-risk trajectory (eg, high frequency PDM at multiple ages). All PDM trajectories were associated with increased odds of developing SUD symptoms in middle adulthood, especially the later peak and high-risk trajectories compared with early peak trajectories (eg, peak at age 40 years: adjusted odds ratio [aOR], 5.17; 95% CI, 3.97-6.73; high-risk: aOR, 12.41; 95% CI, 8.47-18.24). Baseline characteristics associated with a high-risk trajectory were binge drinking (aOR, 1.69; 95% CI, 1.13-2.54), cigarette smoking (aOR, 2.30; 95% CI, 1.60-3.29), and marijuana use (aOR, 3.78; 95% CI, 2.38-6.01). More recent cohorts (eg, 1985-1986) had a higher risk of belonging to later peak PDM trajectories (ages 40 and 45 years) than the 1976-1978 cohort (age 40 years peak: aOR, 2.49; 95% CI, 1.69-3.68). Conclusions and Relevance: In this cohort study, adults with later peak PDM trajectories were at increased risk of SUD symptoms in middle adulthood. These findings suggest the need to screen for PDM and SUD from adolescence through middle adulthood.

Indexed as

Prescription Drug MisuseAdolescentAdultCohort StudiesHumansMiddle AgedUnited StatesYoung Adult

Identifiers

PMID34982159
PMCPMC8728613
OpenAlexW4205228497

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.