Evidence map›Paper›PMID 40666335›Full record

ArticlemedRxiv : the preprint server for health sciences2025

ZIP code-level alcohol outlet density and nonfatal overdose among people who inject drugs in 22 US metropolitan statistical areas: a multilevel modeling analysis.

Snigdha R Peddireddy, Stephanie Beane, Courtney Yarbrough, Umedjon Ibragimov, Janet R Cummings, Danielle F Haley, Sabriya L Linton, Hannah L F Cooper

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Snigdha R Peddireddy
Stephanie Beane
Courtney Yarbrough
Umedjon Ibragimov
Janet R Cummings
Danielle F Haley
Sabriya L Linton
Hannah L F Cooper

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Alcohol outlet density (AOD) is associated with drinking behaviors and related harms across several populations. As alcohol consumption compounds the depressive effects of opioids to increase overdose risk among people who inject drugs (PWID), this study investigated 1) whether off-premise AOD is associated with the risk of nonfatal overdose among a large sample of PWID, and 2) whether this relationship varies by individual race/ethnicity. Methods: We linked individual-level 2018 National HIV Behavioral Surveillance (NHBS) data with ZIP code-level data on off-premise AOD in 2016 from the US Census Bureau's ZIP Code Business Pattern survey. NHBS surveys PWID across 22 metropolitan statistical areas. Hierarchical generalized linear models quantified the association between AOD and nonfatal overdose, overall and by PWID race/ethnicity. Results: The sample comprised 9,764 PWID who used opioids, 45% of whom were non-Hispanic/Latinx White, 38% non-Hispanic/Latinx Black, and 18% Hispanic/Latinx. Over a quarter (28%) experienced an overdose in the past year. The median outlet density was 4.0 outlets per square mile. The adjusted model did not show a significant relationship between AOD and odds of overdose (OR: 1.01, 95% CI: 1.00-1.02), and the relationship remained null in the race/ethnicity interaction model. Conclusions: Regulating AOD alone may not effectively mitigate overdose risk among PWID. Future research should explore why overdoses among PWID are not sensitive to changes in AOD. Possible explanations to consider are whether (1) AOD is unassociated with alcohol consumption among PWID, or (2) PWID stagger the timing of their alcohol consumption so it does not coincide with opioid consumption.

Identifiers

PMID40666335
PMCPMC12262781

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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.