A predictive risk model for nonfatal opioid overdose in a statewide population of buprenorphine patients

BACKGROUND: Predicting which individuals who are prescribed buprenorphine for opioid use disorder are most likely to experience an overdose can help target interventions to prevent relapse and subsequent consequences. METHODS: We used Maryland prescription drug monitoring data from 2015 to identify...

Full description

Saved in:
Bibliographic Details
Published in:Drug Alcohol Depend
Main Authors: Chang, Hsien-Yen, Krawczyk, Noa, Schneider, Kristin E., Ferris, Lindsey, Eisenberg, Matthew, Richards, Tom M., Lyons, B. Casey, Jackson, Kate, Weiner, Jonathan P., Saloner, Brendan
Format: Artigo
Language:Inglês
Published: 2019
Subjects:
Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC6713520/
https://ncbi.nlm.nih.gov/pubmed/31207453
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.drugalcdep.2019.04.016
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items