Evidence map›Paper›PMID 39827688›Full record

ArticleSocial science & medicine (1982)2025

Patterns of socioeconomic marginalization and non-fatal overdose among people who use drugs: A gender-stratified repeated measures latent class analysis.

Sanjana Mitra, Lindsey Richardson, Zishan Cui, Mark Gilbert, M-J Milloy, Kanna Hayashi, Thomas Kerr

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. THE GENDER SEGREGATION OF PRECARIOUS WORK CONTEXTS AMONG PEOPLE WHO USE DRUGS.International journal of mental health and addiction · 2026
    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.

Sanjana MitraBritish Columbia Centre on Substance Use, 400-1045 Howe, Vancouver, BC, V6Z 2A9, Canada. Electronic address: sanjana.mitra@unityhealth.to.
Lindsey RichardsonBritish Columbia Centre on Substance Use, 400-1045 Howe, Vancouver, BC, V6Z 2A9, Canada; Department of Sociology, University of British Columbia, 6303 NW Marine Drive, Vancouver, BC, V6T 1Z1, Canada.
Zishan CuiBritish Columbia Centre on Substance Use, 400-1045 Howe, Vancouver, BC, V6Z 2A9, Canada.
Mark GilbertBritish Columbia Centre for Disease Control, 655 West 12th Avenue, Vancouver, BC, V5Z 4R4, Canada.
M-J MilloyBritish Columbia Centre on Substance Use, 400-1045 Howe, Vancouver, BC, V6Z 2A9, Canada; Department of Medicine, University of British Columbia, 317-2194 Health Sciences Mall, Vancouver, BC, V6T 1Z3, Canada.
Kanna HayashiBritish Columbia Centre on Substance Use, 400-1045 Howe, Vancouver, BC, V6Z 2A9, Canada; Faculty of Health Sciences, Simon Fraser University, 8888 University Drive, Burnaby, BC, V5A 1S6, Canada.
Thomas KerrBritish Columbia Centre on Substance Use, 400-1045 Howe, Vancouver, BC, V6Z 2A9, Canada; Department of Medicine, University of British Columbia, 317-2194 Health Sciences Mall, Vancouver, BC, V6T 1Z3, Canada. Electronic address: bccsu-tk@bccsu.ubc.ca.

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
Impacts of universal access to HIV/AIDS care among HIV+ injection drug usersU01DA021525 · NIDA · UNIVERSITY OF BRITISH COLUMBIA · PI MILLOY, M-J · 2017 to 2024
$4.3M
NIDA NIH HHS U01 DA021525NIDA NIH HHS U01 DA038886
6 · The paper itself

Abstract

backgroundWhile marked gender-based differences in drug-related risk and harm between men women who use drugs have been characterized to some extent, the complex relationship between gendered socioeconomic conditions, overdose risk, and drug use patterns and behaviours remains underexplored.

methodsWe conducted gender-stratified repeated measures latent class analyses (RMLCA) with data from two ongoing cohorts of people who use drugs in Vancouver, Canada to identify discrete subgroups based on socioeconomic exposures. Multivariable generalized estimating equations models weighted by the respective posterior membership probabilities were applied to estimate the associations between socioeconomic class membership and non-fatal overdose. Sub-analyses investigated whether these relationships were explained by drug use-related variables.

resultsBetween June 2014 and March 2020, 1723 participants provided 12120 observations. At study baseline, 1074 (62.3%) were men and 649 (37.7%) were women. In RMLCA, five distinct profiles of socioeconomic exposures emerged for men, and four emerged for women. Classes were presented in ascending order of socioeconomic disadvantage (i.e., ranging from Class 1 [least disadvantage] to Class 4/Class 5 [most disadvantage]) and were primarily distinguished by variations in income, material and housing in/security, participation in illegal/informal income generation, and criminal justice involvement. In analyses adjusting for demographic characteristics, for both men and women, progressive increases in exposure to multiple dimensions of disadvantage were positively and independently associated with non-fatal overdose when compared to the least socioeconomically disadvantaged subgroup. Subsequent analyses revealed that systematic differences in drug use patterns and behaviours across categories of socioeconomic disadvantage largely accounted for these relationships.

conclusionsAddressing multiple forms of mutually reinforcing health inequities may offer additional opportunity to mitigate non-fatal overdose in men and women who use drugs.

Indexed as

Drug OverdoseSocial MarginalizationSubstance-Related DisordersAdultBritish ColumbiaCanadaCohort StudiesFemaleHumansLatent Class AnalysisMaleMiddle AgedSex FactorsSocioeconomic FactorsCohort studiesDrug toxicityGender-based analysesOverdosePeople who use drugsSocioeconomic marginalization

Identifiers

PMID39827688
PMCPMC12232989

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.