Evidence map›Paper›PMID 40243035›Full record

ArticleSubstance use & addiction journal2025

Patterns of Drugs Involved in Fatal Overdose and Demographic Correlates: A Latent Class Analysis of Polysubstance-Involved Deaths in the Urban Midwest.

Julia Richardson, Devin E Banks, Kanila L Brown, Melissa Nance, Ryan W Carpenter, Rachel P Winograd

Abstract read
In one paragraph

Article in Substance use & addiction journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing 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

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Julia RichardsonDepartment of Psychological Sciences, University of Missouri-St. Louis, St. Louis, MO, USA.ORCID 0000-0001-8427-0910
Devin E BanksDepartment of Psychological Sciences, University of Missouri-St. Louis, St. Louis, MO, USA.ORCID 0000-0003-2569-0952
Kanila L BrownDepartment of Psychological Sciences, University of Missouri-St. Louis, St. Louis, MO, USA.
Melissa NanceDepartment of Psychology, University of Notre Dame, Notre Dame, IN, USA.
Ryan W CarpenterDepartment of Psychology, University of Notre Dame, Notre Dame, IN, USA.
Rachel P WinogradDepartment of Psychological Sciences, University of Missouri-St. Louis, St. Louis, MO, USA.ORCID 0000-0001-8539-1757

Funding

Developing a modified brief alcohol-focused intervention tailored for patients with alcohol use disorder in opioid agonist treatmentK23AA029729 · NIAAA · UNIVERSITY OF NOTRE DAME · PI Ryan W Carpenter · 2022 to 2026
$793k
An Integrated Geospatial and Community-based Model to Prevent Opioid Overdose among Black AmericansK08DA058080 · NIDA · WASHINGTON UNIVERSITY · PI Devin Banks · 2023 to 2026
$774k
NIAAA NIH HHS K23 AA029729NIDA NIH HHS K08 DA058080SAMHSA HHS 1H79TI085748
6 · The paper itself

Abstract

backgroundFentanyl contributes to the majority of overdose deaths in the United States but the risk of fatal overdose increases when other substances are involved. Although polysubstance overdose involving fentanyl and stimulants has been characterized as increasing nationally and in urban coastal cities, little is known about patterns of drugs involved in fatal overdose in the urban Midwest.

methodsThe current study examined drug-involved death data from St. Louis City and County. Cases included were drug overdose deaths occurring from 2016 to 2021 (N = 4088; 73% male; 50% white, 49% black). Latent class analysis was used to examine prototypical patterns and demographic associations.

resultsResults indicated fentanyl was involved in the majority (75.0%) of overdose deaths. A five-class solution best fit the data, characterized by deaths involving: predominant fentanyl (48.5%), fentanyl and heroin (20.0%), fentanyl and psychostimulants (12.8%), prescription opioid/undifferentiated (10.6%), and predominant cocaine (8.0%). Relative to predominant fentanyl, decedents in the fentanyl and heroin class and predominant cocaine class were more likely to be black (

conclusionsFindings diverge from previous research and national patterns highlighting the importance of local data for informing health care and policy in mid-sized and Midwest cities. Overdose prevention that addresses both intentional ingestion and unintentional ingestion of fentanyl with other substances, particularly stimulants, are warranted as its ubiquity in the drug supply persists.

Indexed as

Drug OverdoseFentanylUrban PopulationAdolescentAdultAnalgesics, OpioidCentral Nervous System StimulantsCocaineFemaleHeroinHumansLatent Class AnalysisMaleMiddle AgedMissouriYoung AdultAnalgesics, OpioidCentral Nervous System StimulantsCocaineFentanylHeroindrug overdosefentanylpolysubstancesociodemographicsstimulants

Identifiers

PMID40243035
PMCPMC12831643

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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.