Evidence map›Paper›PMID 42251803›Full record

ArticleThe International journal on drug policy2026

Proportion of fentanyl reports in illicit drug seizures and nonfatal overdose emergency department visits in the United States, 2021-2024.

Mehrdad Khezri, Saba Rouhani, Zoe Lindenfeld, Kaley Joss, Madalyn Huang, Jemar R Bather

Erratum issuedAbstract read
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Article in The International journal on drug policy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

6 authors.

Mehrdad KhezriDepartment of Epidemiology, NYU School of Global Public Health, New York, NY, USA.
Saba RouhaniDepartment of Epidemiology, NYU School of Global Public Health, New York, NY, USA.
Zoe LindenfeldEdward J. Bloustein School of Planning and Public Policy, Rutgers University, New Brunswick, NJ, USA. Electronic address: Zoe.Lindenfeld@Rutgers.edu.
Kaley JossDepartment of Epidemiology, NYU School of Global Public Health, New York, NY, USA.
Madalyn HuangDepartment of Epidemiology, NYU School of Global Public Health, New York, NY, USA.
Jemar R BatherDepartment of Biostatistics, NYU School of Global Public Health, New York, NY, USA.

Funding

The impact of HB-139 on substance use outcomes: a natural experimentR01DA064493 · NIDA · NEW YORK UNIVERSITY · PI Zoe Lindenfeld, Saba Rouhani · 2025 to 2026
$1.5M
NIDA NIH HHS R01 DA064493
6 · The paper itself

Abstract

backgroundThe increasing presence of fentanyl in the illicit drug supply has been associated with rising overdose mortality in the United States, but the extent to which it is associated with nonfatal overdose morbidity remains unknown. We examined the association between the proportion of fentanyl reports in illicit drug seizures and state-level rates of nonfatal overdose emergency department (ED) visits.

methodsWe conducted a longitudinal ecological analysis of 40 US states from 2021 to 2024. Outcomes were annual state-level rates of nonfatal overdose ED visits per 10,000 ED visits, obtained from Drug Overdose Surveillance and Epidemiology Syndromic Surveillance System. The proportion of fentanyl reports among all illicit drug seizure reports was obtained from the National Forensic Laboratory Information System. Annual state-level sociodemographic covariates were obtained from the American Community Survey. Adjusted associations and 95% confidence intervals (CIs) were estimated via linear regression using generalized estimating equations.

resultsAfter adjusting for covariates, a 10 percentage-point increase in fentanyl seizure proportion was significantly associated with higher nonfatal overdose ED visit rates: opioid-involved (2.18 increase, 95% CI: 0.89, 3.46), fentanyl-involved (0.73 increase, 95% CI: 0.27, 1.18), and cocaine-involved (0.08 increase, 95% CI: 0.01, 0.15). There was no evidence of statistically significant associations with heroin-, stimulant-, methamphetamine-, and benzodiazepine-involved overdose ED visit rates.

conclusionsGreater fentanyl penetration in illicit drug seizure reports was significantly associated with higher opioid-, fentanyl-, and cocaine-involved nonfatal overdose ED visit rates across states. These findings suggest that fentanyl saturation is not only a driver of overdose mortality but also contributes to nonfatal overdose burden, with important implications for health system demand and public health preparedness.

Indexed as

Drug OverdoseEmergency Service, HospitalFentanylIllicit DrugsAdultAnalgesics, OpioidEmergency Room VisitsFemaleHumansLongitudinal StudiesMaleUnited StatesAnalgesics, OpioidFentanylIllicit DrugsDrug seizuresEmergency department visitsFentanylIllicit drug supplyNonfatal overdoseSynthetic opioids

Identifiers

PMID42251803
PMCPMC13395472

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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.