Evidence map›Paper›PMID 34969578›Full record

ArticleJournal of substance abuse treatment2022

The impact of social network dynamics on engagement in drug use reduction programs among men and women who use drugs.

Oluwaseun Falade-Nwulia, Marisa Felsher, Michael Kidorf, Karin Tobin, Cui Yang, Carl Latkin

Open access · greenAbstract read
In one paragraph

Article in Journal of substance abuse treatment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  4. The impact of family systems and social networks on substance use initiation and recovery among women with substance use disorders.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2024
    Article
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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 2 institutions in 1 country.

Oluwaseun Falade-NwuliaJohns Hopkins University School of Medicine, Baltimore, MD, United States of America. Electronic address: ofalade1@jhmi.edu.
Marisa FelsherJohns Hopkins University School of Medicine, Baltimore, MD, United States of America.
Michael KidorfJohns Hopkins University School of Medicine, Baltimore, MD, United States of America.
Karin TobinJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Cui YangJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Carl LatkinJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Johns Hopkins Medicine · USJohns Hopkins University · US

Funding

Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Richard E. Chaisson · 2012 to 2026
$67.0M
The Effects of Drug Use, Depression, and Social Factors on HIV/HCV Care Continuum among PWID in Urban Areas: A Social-Network PerspectiveR01DA040488 · NIDA · JOHNS HOPKINS UNIVERSITY · PI LATKIN, CARL A, TOBIN, KARIN E · 2015 to 2020
$4.0M
The impact of social networks on hepatitis C transmission and care access in people who inject drugsK23DA041294 · NIDA · JOHNS HOPKINS UNIVERSITY · PI FALADE-NWULIA, OLUWASEUN · 2016 to 2020
$924k
A pilot Peer Mentor intervention that trains Black MSM to use and promote uptake of HIV/STI self-testing to peers and sex partners.R34MH118178 · NIMH · JOHNS HOPKINS UNIVERSITY · PI TOBIN, KARIN E · 2019 to 2021
$737k
NIAID NIH HHS P30 AI094189NIDA NIH HHS K23 DA041294NIDA NIH HHS R01 DA040488NIMH NIH HHS R34 MH118178
6 · The paper itself

Abstract

backgroundCross-sectional studies have shown strong relationships between social network characteristics and substance use disorder (SUD) treatment engagement. The current study examined associations between longitudinal changes in egocentric social networks of male and female people who use drugs (PWUD) and engagement in drug use reduction programs, broadly defined as either formal SUD treatment or self-help groups.

methodUsing data from an HIV prevention and care study in Baltimore, MD, this study categorized PWUD into those who engaged and did not engage in any drug use reduction programs over two follow-ups during a one-year observation window. The study used multivariate logistic generalized estimating equations (GEE) to examine associations between network composition and stability measures and drug use reduction program engagement, stratified by gender.

resultsOf the 176 subjects participating in drug use reduction programs at baseline, 56.3% remained engaged at one year. Among both male and female respondents, higher turnover into non-kin networks was associated with increased odds of engagement in drug use reduction programs (AOR 1.4; 95% CI: 1.1-1.9, AOR 1.3; 95% CI: 1.0-1.8, respectively). For males, retention of intimate partner networks was associated with increased odds of program engagement (AOR 2.9; 95% CI: 1.1-7.6); for females, higher turnover into kin networks was associated with decreased odds of engagement (AOR 0.8; 95% CI: 0.5-1.0).

conclusionEvaluation of associations between social network characteristics and drug use reduction program engagement appears to benefit from longitudinal analyses that are stratified by gender. Efforts to improve retention in formal SUD treatment or self-help groups might consider intervening through social networks, perhaps by increasing overall levels of social support.

Indexed as

Substance-Related DisordersCross-Sectional StudiesFemaleHumansMaleSexual PartnersSocial NetworkingSocial SupportCare engagementGenderPeople who use drugsSocial networkTreatment

Identifiers

PMID34969578
PMCPMC9086095
OpenAlexW4200523635

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.