Evidence map›Paper›PMID 31992376›Full record

ArticleEpidemiology and psychiatric sciences2020

Prescription opioid misuse motive latent classes: outcomes from a nationally representative US sample.

Ty S Schepis, A S De Nadai, J A Ford, S E McCabe

Open access · goldAbstract read
In one paragraph

Article in Epidemiology and psychiatric sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 34 citations in OpenAlex.

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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

4 authors at 3 institutions in 1 country.

Ty S SchepisDepartment of Psychology, Texas State University, San Marcos, Texas, USA.ORCID https://orcid.org/0000-0003-3655-0496
A S De NadaiDepartment of Psychology, Texas State University, San Marcos, Texas, USA.
J A FordDepartment of Sociology, University of Central Florida, Orlando, Florida, USA.
S E McCabeCenter for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, University of Michigan, Ann Arbor, Michigan, USA.
Texas State University · USInstitute for Women's Policy Research · USUniversity of Central Florida · US

Funding

Trajectories of Prescription Nonmedical Drug MisuseR01DA031160 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SEAN ESTEBAN MCCABE · 2011 to 2026
$3.7M
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 DA043691
6 · The paper itself

Abstract

aimsPrescription opioid misuse (POM) contributes to a larger opioid crisis in the US and Canada, with over 17 000 US POM-related overdose deaths in 2017. Our aims were to (1) identify specific profiles of respondents based on POM motives using the US National Survey on Drug Use and Health (NSDUH) and (2) compare profile respondents on sociodemographics, substance use and mental and physical health outcomes.

methodsAnalyses included 2017-18 NSDUH respondents with data on POM motives (n = 4810). POM was defined as prescription opioid use in a way not intended by the prescriber, including use without a prescription, in larger amounts or more frequently. Nine POM motives for the most recent episode were assessed, including 'to relieve physical pain' and 'to get high'. Latent classes, based on POM motives, were estimated. Classes were compared on sociodemographics, substance use and physical and mental health outcomes.

resultsEight latent classes were identified (in order of prevalence): pain relief only, relax-pain relief, sleep-pain relief, multi-motive, high, experimenter, emotional coping and dependent/hooked. Compared to the pain relief only group, the high and multi-motive classes had higher odds of all substance use outcomes, with the dependent/hooked class having higher odds on all but one outcome. Six of the eight classes had higher odds of past-year mental health treatment and suicidal ideation than the pain relief only class.

conclusionsScreening for pain, pain conditions, problematic substance use and psychopathology are recommended in those with any POM. While those in the dependent/hooked, multi-motive and emotional coping classes are most likely to have prescription opioid use disorder (OUD), screening for OUD symptoms in all individuals with POM is also warranted.

Indexed as

AdolescentAdultAgedAnalgesics, OpioidChildCross-Sectional StudiesFemaleHumansLatent Class AnalysisMaleMiddle AgedMotivationOpioid-Related DisordersPrescription Drug MisusePrevalenceSocioeconomic FactorsAnalgesics, OpioidLatent class analysismisusemotiveprescription opioidsubstance use disorder

Identifiers

PMID31992376
PMCPMC6996055
OpenAlexW3004000218

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.