Evidence map›Paper›PMID 28337798›Full record

ArticleDrug and alcohol review2018

Latent classes of polydrug and polyroute use and associations with human immunodeficiency virus risk behaviours and overdose among people who inject drugs in Tijuana, Baja California, Mexico.

Meredith C Meacham, Scott C Roesch, Steffanie A Strathdee, Suzanne Lindsay, Patricia Gonzalez-Zuniga, Tommi L Gaines

Abstract read
In one paragraph

Article in Drug and alcohol review, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

29 citing papers in PubMed, 41 citations in OpenAlex.

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  13. HIV and Substance Use in Latin America: A Scoping Review.International journal of environmental research and public health · 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

6 authors at 3 institutions in 1 country.

Meredith C MeachamDepartment of Psychiatry, University of California San Francisco, San Francisco, USA.
Scott C RoeschDepartment of Psychology, San Diego State University, San Diego, USA.
Steffanie A StrathdeeDivision of Global Public Health, University of California San Diego, San Diego, USA.
Suzanne LindsayGraduate School of Public Health, San Diego State University, San Diego, USA.
Patricia Gonzalez-ZunigaDivision of Global Public Health, University of California San Diego, San Diego, USA.
Tommi L GainesDivision of Global Public Health, University of California San Diego, San Diego, USA.
San Diego State University · USUniversity of California, San Diego · USUniversity of San Diego · US

Funding

Training Program in Substance Use, HIV and Related InfectionsT32DA023356 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Natasha Martin, Steffanie A Strathdee · 2007 to 2026
$7.8M
Substance Use Disorders Treatment/Services Research Training ProgramT32DA007250 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Derek D Satre, Janice Y Tsoh · 1991 to 2026
$7.4M
Impact of Drug Policy Reform on the HIV Risk Environment among IDUs in TijuanaR37DA019829 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI STRATHDEE, STEFFANIE A. · 2010 to 2019
$6.7M
Modeling the Complex Dynamics between Behaviors and Environments Shaping HIV/STIsK01DA034523 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GAINES, TOMMI LYNN · 2012 to 2016
$905k
NIDA NIH HHS K01 DA034523NIDA NIH HHS R37 DA019829NIDA NIH HHS T32 DA007250NIDA NIH HHS T32 DA023356
6 · The paper itself

Abstract

INTRODUCTION AND

aimsPatterns of polydrug use among people who inject drugs (PWID) may be differentially associated with overdose and unique human immunodeficiency virus (HIV) risk factors. Subgroups of PWID in Tijuana, Mexico, were identified based on substances used, route of administration, frequency of use and co-injection indicators. DESIGN AND

methodsParticipants were PWID residing in Tijuana age ≥18 years sampled from 2011 to 2012 who reported injecting an illicit substance in the past month (n = 735). Latent class analysis identified discrete classes of polydrug use characterised by 11 indicators of past 6 months substance use. Multinomial logistic regression examined class membership association with HIV risk behaviours, overdose and other covariates using an automated three-step procedure in mplus to account for classification error.

resultsParticipants were classified into five subgroups. Two polydrug and polyroute classes were defined by use of multiple substances through several routes of administration and were primarily distinguished from each other by cocaine use (class 1: 5%) or no cocaine use (class 2: 29%). The other classes consisted primarily of injectors: cocaine, methamphetamine and heroin injection (class 3: 4%); methamphetamine and heroin injection (class 4: 10%); and heroin injection (class 5: 52%). Compared with the heroin-only injection class, memberships in the two polydrug and polyroute use classes were independently associated with both HIV injection and sexual risk behaviours. DISCUSSION AND

conclusionsSubstance use patterns among PWID in Tijuana are highly heterogeneous, and polydrug and polyroute users are a high-risk subgroup who may require more tailored prevention and treatment interventions. [Meacham MC, Roesch SC, Strathdee SA, Lindsay S, Gonzalez-Zuniga P, Gaines TL. Latent classes of polydrug and polyroute use and associations with human immunodeficiency virus risk behaviours and overdose among people who inject drugs in Tijuana, Baja California, Mexico. Drug Alcohol Rev 2018;37:128-136].

Indexed as

Drug UsersRisk-TakingAdultDrug OverdoseFemaleHIV InfectionsHumansMaleMexicoMiddle AgedNeedle SharingRisk FactorsSubstance Abuse, IntravenousHIV risk behaviourlatent class analysispolydrugpolyroutePWID

Identifiers

PMID28337798
PMCPMC5610926
OpenAlexW2599644425

What OpenQuestion holds

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LicenceTDM
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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.