Evidence map›Paper›PMID 30482215›Full record

ArticleSubstance abuse treatment, prevention, and policy2018

An age-based analysis of nonmedical prescription opioid use among people who use illegal drugs in Vancouver, Canada.

Tessa Cheng, Will Small, Huiru Dong, Ekaterina Nosova, Kanna Hayashi, Kora DeBeck

Abstract read
In one paragraph

Article in Substance abuse treatment, prevention, and policy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Observational
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  5. Methadone Maintenance Treatment Discontinuation Among Young People who use Opioids in Vancouver, Canada.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2023
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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.

Tessa ChengFaculty of Health Sciences, Simon Fraser University, Blusson Hall, Room 11300, 8888 University Drive, Burnaby, BC, V5A 1S6, Canada.
Will SmallFaculty of Health Sciences, Simon Fraser University, Blusson Hall, Room 11300, 8888 University Drive, Burnaby, BC, V5A 1S6, Canada.
Huiru DongBritish Columbia Centre on Substance Use, Providence Health Care, 400-1045 Howe St, Vancouver, BC, V6Z 2A9, Canada.
Ekaterina NosovaBritish Columbia Centre on Substance Use, Providence Health Care, 400-1045 Howe St, Vancouver, BC, V6Z 2A9, Canada.
Kanna HayashiFaculty of Health Sciences, Simon Fraser University, Blusson Hall, Room 11300, 8888 University Drive, Burnaby, BC, V5A 1S6, Canada.
Kora DeBeckBritish Columbia Centre on Substance Use, Providence Health Care, 400-1045 Howe St, Vancouver, BC, V6Z 2A9, Canada. bccsu-kd@bccsu.ubc.ca.ORCID 0000-0003-2045-1653

Funding

Vancouver Drug Users Study: The Impacts of Evolving Drug Use Patterns on HIV/AIDSU01DA038886 · NIDA · UNIVERSITY OF BRITISH COLUMBIA · PI DEBECK, KORA, HAYASHI, KANNA · 2015 to 2024
$12.1M
CIHR MOP-286532NIDA NIH HHS U01 DA038886NIDA NIH HHS U01DA038886
6 · The paper itself

Abstract

backgroundNonmedical prescription opioid use (NMPOU) is a serious public health problem in North America. At a population-level, previous research has identified differences in the prevalence and correlates of NMPOU among younger versus older age groups; however, less is known about age-related differences in NMPOU among people who use illegal drugs.

methodsData were collected between 2013 and 2015 from two linked prospective cohort studies in Vancouver, Canada: the At-Risk Youth Study (ARYS) and the Vancouver Injection Drug Users Study (VIDUS). Factors independently associated with NMPOU among younger (ARYS) and older (VIDUS) participants were examined separately using bivariate and multivariate generalized estimating equations.

resultsA total of 1162 participants were included. Among 405 eligible younger participants (Median age = 25; Inter-Quartile Range [IQR]: 22-28), 40% (n = 160) reported engaging in NMPOU at baseline; among 757 older participants (Median age = 48, IQR: 40-55), 35% (n = 262) reported engaging in NMPOU at baseline. In separate multivariate analyses of younger and older participants, NMPOU was positively and independently associated with heroin use (younger: Adjusted Odds Ratio [AOR] = 3.12, 95% Confidence Interval [CI]: 2.08-4.68; older: AOR = 2.79, 95% CI: 2.08-3.74), drug dealing (younger: AOR = 2.22, 95% CI: 1.58-3.13; older: AOR = 1.87, 95% CI: 1.40-2.49), and difficulty accessing services (younger: AOR = 1.47, 95% CI: 1.04-2.09; older: AOR = 1.74, 95% CI: 1.32-2.29). Among the youth cohort only, NMPOU was associated with younger age (AOR = 1.12, 95% CI: 1.05-1.19), crack use (AOR = 1.56, 95% CI: 1.06-2.30), and binge drug use (AOR = 1.41, 95% CI: 1.00-1.97); older participants who engaged in NMPOU were more likely to report crystal methamphetamine use (AOR = 1.97, 95% CI: 1.46-2.66), non-fatal overdose (AOR = 1.76, 95% CI: 1.20-2.60) and sex work (AOR = 1.49, 95% CI: 1.00-2.22). DISCUSSION: The prevalence of NMPOU is similar among younger and older people who use drugs, and independently associated with markers of vulnerability among both age groups. Adults who engage in NMPOU are at risk for non-fatal overdose, which highlights the need for youth and adult-specific strategies to address NMPOU that include better access to health and social services, as well as a range of addiction treatment options for opioid use. Findings also underscore the importance of improving pain treatment strategies tailored for PWUD.

Indexed as

AdultAge FactorsCanadaDrug UsersFemaleHumansIllicit DrugsMaleMiddle AgedOpioid-Related DisordersPrescription Drug MisuseProspective StudiesYoung AdultIllicit DrugsAddictionsOverdosePrescription opioidsRisk behaviorYouth

Identifiers

PMID30482215
PMCPMC6260714

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.