Development and validation of a fentanyl quantification model for drug checking services
Our study shows that machine learning models for fentanyl quantification can be used to augment traditional community drug checking technologies. However, any practical use as a point-of-care tool should be accompanied by clear communication of uncertainty to ensure predictions support, rather than unintentionally undermine, harm reduction goals.
Authors
- Samuel Tobias (ORCID: https://orcid.org/0000-0001-6051-8950)
- Lianping Ti
- Sara M. Guzman
- Jason E. Hein
Institutions
- University of British Columbia (CA)
- British Columbia Centre on Substance Use (CA)
Publication Details
- Journal
- Drug and Alcohol Dependence Reports
- Published
- 2026-02-04
- DOI
- https://doi.org/10.1016/j.dadr.2026.100415
- Primary Topic
- Forensic Toxicology and Drug Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00