Evidence map›Paper›PMID 31195347›Full record

ArticleDrug and alcohol dependence2019

Patterns of polysubstance use and overdose among people who inject drugs in Baltimore, Maryland: A latent class analysis.

Kristin E Schneider, Ju Nyeong Park, Sean T Allen, Brian W Weir, Susan G Sherman

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
–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

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3 · Its place in the literature

Who cites it

52 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Kristin E SchneiderDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD, 21205, USA. Electronic address: kschne18@jhu.edu.
Ju Nyeong ParkDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD, 21205, USA. Electronic address: ju.park@jhu.edu.
Sean T AllenDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD, 21205, USA. Electronic address: sallen63@jhu.edu.
Brian W WeirDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD, 21205, USA. Electronic address: bweir3@jhu.edu.
Susan G ShermanDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD, 21205, USA. Electronic address: ssherman@jhsph.edu.

Funding

Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Richard E. Chaisson · 2012 to 2026
$67.0M
NIDA Epidemiology Training Program: Johns Hopkins UniversityT32DA007292 · NIDA · JOHNS HOPKINS UNIVERSITY · PI RENEE M. JOHNSON, Brion S Maher · 1993 to 2026
$17.7M
Syringe Services Program Implementation in Rural Counties Vulnerable to HIV OutbreakK01DA046234 · NIDA · JOHNS HOPKINS UNIVERSITY · PI ALLEN, SEAN T · 2018 to 2022
$722k
NIAID NIH HHS P30 AI094189NIDA NIH HHS K01 DA046234NIDA NIH HHS T32 DA007292
6 · The paper itself

Abstract

backgroundOpioid-related overdose rates continue to climb. However, little research has examined the reach of overdose education and naloxone trainings among people who inject drugs (PWID). Understanding gaps in coverage is essential to improving the public health response to the ongoing crisis.

methodsWe surveyed 298 PWID in Baltimore City, MD. We conducted a latent class analysis of drug use indicators and tested for differences by class in past month overdose, having received overdose training, and currently having naloxone.

resultsThree classes emerged: cocaine/heroin injection (40.2%), heroin only injection (32.2%), and multi-drug/multi-route use (27.6%). The prevalence of past month overdose differed marginally by class (p = 0.06), with the multi-drug/multi-route use class having the highest prevalence (22.5%) and the heroin only class having the lowest (4.6%). The prevalence of previous overdose training differed significantly by class (p = 0.02), with the heroin/cocaine class (76.5%) having more training than the other two classes. Training was least common amongst the multi-drug/multi-route class (60.3%), though not statistically different from the heroin only class (63.0%). Classes did not differ significantly in current naloxone possession, although the multi-drug/multi-route class exhibited the lowest prevalence of naloxone possession (37.2%).

conclusionsPeople who inject multiple substances are at high risk for overdose and are also the least likely to receive overdose trainings. The current service landscape does not adequately reach individuals with high levels of structural vulnerability and high levels of drug use and homelessness. Actively including this subgroup into harm reduction efforts are essential for preventing overdose fatalities.

Indexed as

AdolescentAdultBaltimoreCocaine-Related DisordersDrug OverdoseFemaleHarm ReductionHeroin DependenceHumansIll-Housed PersonsLatent Class AnalysisMaleMiddle AgedNaloxoneNarcotic AntagonistsPatient Education as TopicNaloxoneNarcotic AntagonistsLatent class analysisNaloxoneOverdosePolysubstance use

Identifiers

PMID31195347
PMCPMC6686197

What OpenQuestion holds

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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.