Abstract
Background
Naloxone is a life-saving opioid antagonist. Chronic pain guidelines recommend that physicians co-prescribe naloxone to patients at high risk for opioid overdose. However, clinical tools to efficiently identify patients who could benefit from naloxone are lacking.
Objective
To develop and validate an overdose predictive model which could be used in primary care settings to assess the need for naloxone.
Design
Retrospective cohort.