Evidence map›Paper›PMID 41260024›Full record

ArticleDrug and alcohol dependence2025

Association of route of drug administration with self-reported non-fatal overdose: A cohort study of Baltimore City adults who have injected drugs.

Mark Lucia, Kenneth A Feder, Gregory D Kirk, Shruti H Mehta, Becky L Genberg

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 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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2 · The registry

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Mark LuciaBloomberg School of Public Health, Johns Hopkins University, USA; Blueprint Insights, USA.
Kenneth A FederDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, USA. Electronic address: kfeder1@jhu.edu.
Gregory D KirkDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, USA; Department of Medicine, Johns Hopkins University School of Medicine, USA.
Shruti H MehtaDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, USA.
Becky L GenbergDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, USA.

Funding

Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Anna Palmer Durbin · 2012 to 2026
$67.0M
The AIDS Linked to the Intravenous Experience (ALIVE) StudyU01DA036297 · NIDA · JOHNS HOPKINS UNIVERSITY · PI Gregory D Kirk, Shruti H Mehta · 2014 to 2026
$28.9M
When pandemics collide: The intersection of the opioid crisis, COVID-19 and HIV pandemics among people who inject drugs in the United StatesR01DA053136 · NIDA · JOHNS HOPKINS UNIVERSITY · PI GENBERG, BECKY LYNN · 2020 to 2024
$3.2M
NIAID NIH HHS P30 AI094189NIDA NIH HHS R01 DA053136NIDA NIH HHS U01 DA036297
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic was associated with a shift among people who use drugs away from injecting opioids and toward other routes of administration. We examined if specific routes of heroin administration were associated with overdose risk.

methodsALIVE is a cohort of adults from Baltimore, MD who have a history of injecting drugs. At twice-annual visits, participants self-reported past-six-month drug use and related information. At visits when participants reported heroin use, we estimated the association of self-reported route of heroin administration (injecting, smoking, nasal inhalation ["snorting"], injecting & smoking, injecting & nasal inhalation, smoking & nasal inhalation, all three) with non-fatal overdose using conditional logistic regression.

resultsAt visits when heroin was reported (1121 participants, 4396 study visits, 88 % age 40-79, 33 % female, 77 % Black) using heroin by all three routes of administration was associated with higher overdose odds than using injecting only (aOR 2.37, 95 % CI 1.25-4.47), nasal inhalation only (aOR 2.87, 95 % CI 1.47-5.63), and injecting and smoking (aOR 4.22, 95 % CI 1.01-17.68); injecting and nasal inhalation was associated with overdose as compared to nasal inhalation alone (aOR 1.78, 95 % 1.12-2.83).

conclusionWe found no evidence any individual route of administration was associated with higher heroin overdose risk; instead, use of a single route tended to be associated with lower overdose odds than use of multiple routes. Harm reduction programs that provide sterilized tools for drug administration may empower people who use drugs to avoid overdose risk.

Indexed as

Drug OverdoseHeroinHeroin DependenceSubstance Abuse, IntravenousAdultAgedBaltimoreCohort StudiesCOVID-19Drug Administration RoutesFemaleHumansMaleMiddle AgedSelf ReportHeroin

Identifiers

PMID41260024
PMCPMC12712859

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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.