Evidence map›Paper›PMID 28942031›Full record

ArticleDrug and alcohol dependence2017

The relationship between treatment accessibility and preference amongst out-of-treatment individuals who engage in non-medical prescription opioid use.

Andrew S Huhn, D Andrew Tompkins, Kelly E Dunn

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
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

30 citing papers in PubMed.

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  14. Worsening sleep quality across the lifespan and persistent sleep disturbances in persons with opioid use disorder.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022
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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

3 authors.

Andrew S HuhnJohns Hopkins University School of Medicine, Department of Psychiatry and Behavioral Sciences, Baltimore, MD, USA. Electronic address: ahuhn1@jhu.edu.
D Andrew TompkinsJohns Hopkins University School of Medicine, Department of Psychiatry and Behavioral Sciences, Baltimore, MD, USA.
Kelly E DunnJohns Hopkins University School of Medicine, Department of Psychiatry and Behavioral Sciences, Baltimore, MD, USA.

Funding

HUMAN BEHAVIORAL PHARMACOLOGY OF SUBSTANCE ABUSET32DA007209 · NIDA · JOHNS HOPKINS UNIVERSITY · PI Eric C. Strain, Elise M Weerts · 1985 to 2026
$12.9M
Using Cannabinoids to Enhance Opioid Analgesic Effects in HumansR01DA040644 · NIDA · JOHNS HOPKINS UNIVERSITY · PI CAMPBELL, CLAUDIA MICHELLE, DUNN, KELLY E · 2016 to 2021
$3.4M
A118G SNP and OPRM1 Gene Opioid-Mediated Effects in HumansR01DA035246 · NIDA · JOHNS HOPKINS UNIVERSITY · PI DUNN, KELLY E · 2014 to 2018
$3.2M
Optimizing Pain Treatment while Reducing Abuse Liability in Opioid DependenceK23DA029609 · NIDA · JOHNS HOPKINS UNIVERSITY · PI TOMPKINS, DAVID ANDREW · 2012 to 2016
$929k
Development and Validation of a Computerized Opioid Overdose InterventionR21DA035327 · NIDA · JOHNS HOPKINS UNIVERSITY · PI DUNN, KELLY E · 2013 to 2014
$446k
NIDA NIH HHS K23 DA029609NIDA NIH HHS R01 DA035246NIDA NIH HHS R01 DA040644NIDA NIH HHS R21 DA035327NIDA NIH HHS T32 DA007209
6 · The paper itself

Abstract

backgroundRelatively little is known regarding the perception of medication-assisted treatments (MATs) and other treatment options amongst individuals that engage in non-medical prescription opioid use. This study surveyed out-of-treatment individuals that misuse opioids to better understand how perceived access to treatment shapes treatment preference.

methodsParticipants (n=357) were out-of-treatment adults registered as workers on the Amazon Mechanical Turk platform who reported current non-medical prescription opioid use. Participants were surveyed regarding demographics, insurance status, attitudes toward opioid use disorder (OUD) treatments, and self-reported symptoms of OUD.

resultsParticipants who were male, did not have health insurance, and knew that counseling-type services were locally available were most likely to first attempt counseling/detox treatments (χ2(6)=30.19, p<0.001). Participants who met criteria for severe OUD, used heroin in the last 30days, knew their insurance covered MAT, and knew of locally available MAT providers were most likely to first attempt MAT (χ2(4)=26.85, p<0.001). Participants with insurance and who knew of locally available physicians were most likely to attempt physician visits without the expressed purpose of MAT (χ2(3)=24.75, p<0.001).

conclusionOut-of-treatment opioid users were particularly interested in counseling-based services and medical care that could be attained from a primary-care physician. Results suggest that insurance coverage and perceived access to OUD treatment modalities influences where out-of-treatment opioid users might first seek treatment; understanding the factors that shape treatment preference is critical in designing early interventions to effectively reach this population.

Indexed as

AdultAnalgesics, OpioidHumansInsurance, HealthOpioid-Related DisordersPhysicians, Primary CarePrescriptionsSelf ReportSurveys and QuestionnairesAnalgesics, OpioidInsuranceMedication-assisted treatment (MAT)Opioid use disorder (OUD)Prescription opioidTreatment accessibility

Identifiers

PMID28942031
PMCPMC5648596

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.