Understanding Regional Patterns of Overdose Deaths Related to Opioids and Psychostimulants

Dados Bibliográficos

ID21645238
AutoresJoel E Segel (0000-0001-8937-0531, Department of Health Policy and Administration, Penn State University, University Park, Pennsylvania, USA, autor correspondente), Riley D Shearer (0000-0003-0100-8613, Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, Minnesota, USA), Abenaa Jones (0000-0002-0819-4941, Consortium on Substance Use and Addiction, Penn State University, University Park, Pennsylvania, USA), Utsha G Khatri (0000-0002-7023-0042, Icahn School of Medicine at Mount Sinai), Benjamin A Howell (0000-0001-6938-8347, SEICHE Center for Health and Justice, Yale School of Medicine, New Haven, Connecticut, USA), D Max Crowley (0000-0001-8956-3456, Department of Human Development and Family Studies, Penn State University, University Park, Pennsylvania, USA), Glenn Sterner (0000-0002-5822-7115, Consortium on Substance Use and Addiction, Penn State University, University Park, Pennsylvania, USA), Noel Vest (0000-0001-8014-9726, Stanford University School of Medicine, Stanford, California, USA), Daniel Teixeira Da Silva (0000-0003-3525-605X, University of Pennsylvania), Tyler N A Winkelman (0000-0002-9581-5223, Division of General Internal Medicine, Department of Medicine, Hennepin Healthcare, Minneapolis, Minnesota, USA)
Ano2024
Volume59
Fascículo4
Páginas558-566
Data de publicação2024-03-20
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoSubstance Use & Misuse (JOURNAL)
Identificadores do periódicoISSN: 1082-6084 • E-ISSN: 1532-2491
EditoraInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10826084.2023.2287220
PMID38037904
OpenAlexW4389236987
IdiomaEN
Citações recebidas2
Referências citadas45

BACKGROUND: As overdose rates increase for multiple substances, policymakers need to identify geographic patterns of substance-specific deaths. In this study, we describe county-level opioid and psychostimulant overdose patterns and how they correlate with county-level social vulnerability measures. METHODS: A cross-sectional observational study, we used nationwide 2016-2018 restricted access Centers for Disease Prevention and Control county-level mortality files for 1,024 counties. We estimated quartiles of opioid and psychostimulant overdose mortality and provided estimates of their association with county-level Social Vulnerability Index (SVI) percentile. RESULTS: There was high opioid and psychostimulant overdose mortality in the Middle Atlantic, South Atlantic, East North Central, and Mountain regions. The Central US had the lowest opioid and psychostimulant overdose mortality rates. Counties with higher SVI scores (i.e. higher social vulnerability) were significantly more likely to experience high opioid and high psychostimulant overdose (high-high) mortality. A 10-percentile increase in SVI score was associated with a 3.1 percentage point increase in the likelihood of being a high-high county (p < 0.001) in unadjusted models and a 1.5 percentage point increase (p < 0.05) in models adjusting for region. CONCLUSION: Our results illustrated the heterogenous geographic distribution of the growing concurrent opioid and psychostimulant overdose crisis. The substantial regional variation we identified highlights the need for local data to guide policymaking and treatment planning. The association of opioid-psychostimulant overdose mortality with social vulnerability demonstrates the critical need in impacted counties for tailored treatment that addresses the complex medical and social needs of people who use both opioids and psychostimulants

Drug · Drug overdose · Environmental health · Heroin · Opioid · Opioid overdose · Poison control · Psychiatry · Psychological intervention · Social vulnerability · Demography · HIV, Drug Use, Sexual Risk · Medicine · Opioid Use Disorder Treatment · Suicide and Self-Harm Studies · Internal Medicine