Stimulant Overdose Prediction Model for Medicaid-Insured Persons

Bibliographic Data

ID15809019
AuthorsTuhina Srivastava (0000-0002-9684-9759, University of Washington), Rebecca Arden Harris (0000-0001-6058-0463, University of Pennsylvania), Cheryl Bettigole (University of Pennsylvania), Hanxi Zhang (0000-0002-2193-9581, University of Pennsylvania), Colleen Brensinger (University of Pennsylvania), Colleen M Brensinger (University of Pennsylvania), Kacie Bogar (University of Pennsylvania), Fengge Wang (0000-0001-6388-0349, University of Pennsylvania), Elizabeth D Nesoff (0000-0001-8562-8646, University of Pennsylvania), Warren B Bilker (0000-0002-2704-7525, University of Pennsylvania), Sean Hennessy (0000-0003-4726-9413, University of Pennsylvania, corresponding author)
Year2025
Volume6
Issue9
Pagese253489-e253489
Publication date2025-09-19
Open AccessYes
TypeARTICLE
VenueJAMA Health Forum (JOURNAL)
Journal identifiersISSN: 2689-0186 • E-ISSN: 2689-0186
PublisherAmerican Medical Association (PUBLISHER • US)
DOI10.1001/jamahealthforum.2025.3489
PMID40971166
OpenAlexW4414345908
LanguageEN
References cited26

This case-cohort study found that readily available data can be used to identify those at high risk of hospitalization or ED visit for cocaine- or stimulant-involved overdose. These individuals would likely benefit most from evidence-based interventions and awareness of risk factors for overdose

MEDLINE · Poison control · Psychological intervention · Risk assessment · Risk factor · Stimulant · Cardiac Arrest and Resuscitation · Opioid Use Disorder Treatment · Poisoning and overdose treatments

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Open DOIOpen Access