Evidence map›Paper›PMID 41772631›Full record

ArticleHarm reduction journal2026

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

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Article in Harm reduction journal, 2026. 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Snigdha R PeddireddyDepartment of Behavioral, Social, and Health Education Sciences, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA, 30322, USA. speddir@emory.edu.
Stephanie BeaneDepartment of Behavioral, Social, and Health Education Sciences, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA, 30322, USA.
Courtney YarbroughDepartment of Health Policy and Management, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA, 30322, USA.
Umedjon IbragimovDepartment of Behavioral, Social, and Health Education Sciences, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA, 30322, USA.
Janet R CummingsDepartment of Health Policy and Management, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA, 30322, USA.
Danielle F HaleyDepartment of Community Health Sciences, School of Public Health, Boston University, 715 Albany Street, Boston, MA, 02118, USA.
Sabriya L LintonDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, 615 N Wolfe Street, Baltimore, MD, 21205, USA.
Hannah L F CooperDepartment of Behavioral, Social, and Health Education Sciences, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA, 30322, USA.

Funding

Developing the evidence base for overdose policies: a multilevel analysis of NHBSR01DA046197 · NIDA · EMORY UNIVERSITY · PI COOPER, HANNAH LF · 2018 to 2022
$3.2M
Opioid Treatment Adoption in Primary Care Settings: Barriers and Facilitators to ImplementationK01DA051696 · NIDA · EMORY UNIVERSITY · PI YARBROUGH, COURTNEY R. · 2020 to 2024
$970k
Quantifying health policy impacts on substance use and treatment among women with and at risk for HIV: a longitudinal multilevel analysis using the Women's Interagency HIV StudyK01DA046307 · NIDA · NORTHEASTERN UNIVERSITY · PI HALEY, DANIELLE FRANCES · 2018 to 2022
$865k
NIDA NIH HHS 5T32DA050552NIDA NIH HHS K01DA046307NIDA NIH HHS K01DA051696NIDA NIH HHS R01DA046197
6 · The paper itself

Abstract

backgroundAlcohol 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.

methodsWe 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 (i.e., urban cores and surrounding counties with ≥ 50,000 residents, defined by commuting patterns) using respondent-driven sampling. Hierarchical generalized linear models quantified the association between AOD and nonfatal overdose, overall and by PWID race/ethnicity.

resultsThe sample comprised 9,764 PWID who used opioids, 45% of whom were non-Hispanic/Latine White, 38% non-Hispanic/Latine Black, and 18% Hispanic/Latine. 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.

conclusionsRegulating 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.

Indexed as

Alcohol DrinkingAlcoholic BeveragesDrug OverdoseSubstance Abuse, IntravenousAdultCommerceDrinking EstablishmentsFemaleHumansMaleMultilevel AnalysisUnited StatesUrban PopulationAlcohol outlet densityEquityOpioidsOverdoseSDOH

Identifiers

PMID41772631
PMCPMC13020277

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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.