Evidence map›Paper›PMID 30472537›Full record

ArticleAddictive behaviors2019

Age-specific risk of substance use disorders associated with controlled medication use and misuse subtypes in the United States.

Sean Esteban McCabe, Timothy E Wilens, Carol J Boyd, Kao-Ping Chua, Terri Voepel-Lewis, Ty S Schepis

Abstract read
In one paragraph

Article in Addictive behaviors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

32 citing papers in PubMed, 49 citations in OpenAlex.

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  12. Race Differences in Opioid Misuse and Adolescent Suicidality.Child & adolescent social work journal : C & A · 2022
    Article
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  14. Associations between insufficient sleep and prescription opioid misuse among high school students in the United States.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2021
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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

6 authors at 4 institutions in 1 country.

Sean Esteban McCabeUniversity of Michigan, Center for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, Ann Arbor, MI, USA; University of Michigan, Institute for Research on Women and Gender, Ann Arbor, MI, USA. Electronic address: plius@umich.edu.
Timothy E WilensMassachusetts General Hospital, Pediatric and Adult Psychopharmacology Units, Boston, MA, USA; Harvard University, School of Medicine, Department of Psychiatry, Boston, MA, USA.
Carol J BoydUniversity of Michigan, Center for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, Ann Arbor, MI, USA; University of Michigan, Institute for Research on Women and Gender, Ann Arbor, MI, USA; University of Michigan Medical School, Addiction Center, Department of Psychiatry, Ann Arbor, MI, USA.
Kao-Ping ChuaUniversity of Michigan Medical School, Department of Pediatrics and Communicable Diseases, Child Health Evaluation and Research Center, Ann Arbor, MI, USA.
Terri Voepel-LewisUniversity of Michigan, Center for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, Ann Arbor, MI, USA; University of Michigan Medical School, Department of Anesthesiology, Ann Arbor, MI, USA.
Ty S SchepisTexas State University, Department of Psychology, San Marcos, TX, USA.
Institute for Women's Policy Research · USUniversity of Michigan · USHarvard University · USTexas State University · US

Funding

Trajectories of Prescription Nonmedical Drug MisuseR01DA031160 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SEAN ESTEBAN MCCABE · 2011 to 2026
$3.7M
Scenario-tailored opioid messaging program: An interactive intervention to prevent analgesic-related adverse drugs events in children and adolescentsR01DA044245 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VOEPEL-LEWIS, TERRI DIANE · 2017 to 2019
$2.1M
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
NIDA NIH HHS R01 DA031160NIDA NIH HHS R01 DA036541NIDA NIH HHS R01 DA042146NIDA NIH HHS R01 DA043691NIDA NIH HHS R01 DA044245
6 · The paper itself

Abstract

objectiveTo examine the age-specific risk of past-year substance use disorders (SUDs) associated with use and misuse of prescription opioids, stimulants, sedatives and tranquilizers.

methodsThe authors analyzed nationally representative data from 114,043 U.S. individuals aged 12 and older in the 2015-2016 National Survey on Drug Use and Health. For each controlled medication class, logistic regression was used to model any past-year SUD as a function of use pattern: no use or misuse, use without misuse, prescription drug misuse (PDM). Among individuals reporting PDM, logistic regression was used to model any past-year SUD as a function of PDM subtype (misuse of someone else's medication only, misuse of one's own medication only, and misuse of one's own and someone else's medication). Analyses were stratified by age group.

resultsControlled medication use was associated with higher odds of any past-year SUD compared to no use in many age groups and medication classes. Compared to non-use, PDM was associated with higher odds of any past-year SUD across virtually all age groups and medication classes. Compared to misuse of one's own medication only, misuse of both someone else's and one's own medication was associated with higher odds of any past-year SUD for many age groups and medication classes among individuals reporting PDM.

conclusionsClinicians should screen all controlled medication users for PDM and SUDs. Age-specific screening may be required due to heterogeneity in the prevalence and risks of use and misuse of different medications. Determination of PDM subtype can guide interventions to prevent SUDs.

Indexed as

AdolescentAdultAge FactorsChildFemaleHumansMaleMiddle AgedPrescription Drug MisuseSubstance-Related DisordersUnited StatesYoung AdultBenzodiazepineEpidemiologyOpioidStimulantSubstance use disorder

Identifiers

PMID30472537
PMCPMC6434705
OpenAlexW2901899640

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.