Associations between naloxone prescribing and opioid overdose among patients with acute and chronic pain conditions.

Abstract

AimsTo assess whether naloxone prescribing in clinical contexts targeted pain patients most at risk for opioid overdose.DesignA retrospective cohort study using data from the Health Facts Database.SettingOver 600 United States healthcare facilities.ParticipantsThree patient groups were followed for 2 years during 2009 to 2017: individuals with shoulder or long bone fractures (n = 252 424), chronic pain syndrome (CPS) (n = 76 141), or non‐traumatic low back pain (n = 792 956) who received an opioid prescription. Groups were chosen based on previous work.MeasurementsThe outcome was opioid overdose identified by International Classification of Diseases codes (ICDs) and the primary predictor was number of naloxone prescriptions identified by National Drug Codes (NDCs).FindingsOpioid overdoses occurred among 0.16% of fracture patients (average follow‐up time to overdose [AFU] = 240 days), 1.28% of CPS patients (AFU = 244 days), and 0.30% low back pain patients (AFU = 264 days). A total of 58 083 bone fracture patients received naloxone prescriptions, and naloxone prescription was associated with subsequent opioid overdose (hazard ratio [HR] = 1.87, 95% CI = 1.68–2.09), and number of subsequent overdoses (incidence rate ratio [IRR] = 1.89, 95% CI = 1.69–2.12). A total of 19 529 CPS patients received naloxone prescriptions, and naloxone prescription was associated with subsequent opioid overdose (HR = 1.69, 95% CI = 1.61–1.78) and number of subsequent overdoses (IRR = 1.74, 95% CI = 1.67–1.83). A total of 110 608 low back pain patients received naloxone prescriptions, and naloxone prescription was associated with subsequent opioid overdose (HR = 1.33, 95% CI = 1.27–1.40) and number of subsequent overdoses (IRR = 1.35, 95% CI = 1.29–1.41).ConclusionsReceiving a naloxone prescription appears to be associated with increased risk of subsequent opioid overdose among patients with acute and chronic pain, suggesting prescribers often identify patients most in need of naloxone.