Stimulant Overdose Prediction Model for Medicaid-Insured Persons
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.
Authors
- Hanxi Zhang (ORCID: https://orcid.org/0000-0002-4981-6073)
- Kacie Bogar
- Sean Hennessy (ORCID: https://orcid.org/0000-0003-4726-9413)
- Cheryl Bettigole
- Warren B. Bilker (ORCID: https://orcid.org/0000-0002-2704-7525)
- Colleen Brensinger
- Rebecca Arden Harris (ORCID: https://orcid.org/0000-0001-6058-0463)
- Tuhina Srivastava (ORCID: https://orcid.org/0000-0002-9684-9759)
- Elizabeth D. Nesoff (ORCID: https://orcid.org/0000-0001-8562-8646)
- Fengge Wang (ORCID: https://orcid.org/0000-0001-6388-0349)
Institutions
- University of Washington (US)
- Institute for Health Metrics and Evaluation (US)
- Translational Therapeutics (United States) (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- JAMA Health Forum
- Published
- 2025-09-19
- DOI
- https://doi.org/10.1001/jamahealthforum.2025.3489
- Primary Topic
- Opioid Use Disorder Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Center for Injury Prevention and Control