Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Observational Study
. 2020 Feb;35(2):420-427.
doi: 10.1007/s11606-019-05423-7.

Association of Opioid Overdose Risk Factors and Naloxone Prescribing in US Adults

Affiliations
Observational Study

Association of Opioid Overdose Risk Factors and Naloxone Prescribing in US Adults

Lewei Allison Lin et al. J Gen Intern Med. 2020 Feb.

Abstract

Background: Prescribing naloxone to patients is a key strategy to prevent opioid overdoses, but little is known about the reach of naloxone prescribing.

Objective: Determine patient factors associated with receiving naloxone and trends over time in patients with key overdose risk factors.

Design: Retrospective observational study.

Participants: Using the Clinformatics DataMart, a US-wide health insurance claims dataset, we compared adults who received opioids and naloxone (opioid+naloxone) from January 2014 to June 2017 with adults who received opioids without naloxone (opioids only), matched on gender, age ± 5 years, month/year of opioid fill, and number of opioid claims.

Main measures: Key patient-level opioid overdose risk factors included receipt of high-dosage opioids, concurrent benzodiazepines, history of opioid and other substance use disorders, and history of opioid overdose.

Results: We included 3963 opioid+naloxone and 19,815 opioid only patients. Key factors associated with naloxone fills included high opioid daily dosage (50 to < 90 morphine milligram equivalents (MME): AOR = 2.43, 95% CI 2.15-2.76 and ≥ 90 MME: AOR = 3.94, 95% CI 3.47-4.46; reference: < 50 MME), receiving concurrent benzodiazepines (AOR = 1.27, 95% CI 1.16-1.38), and having a diagnosis of opioid use disorder (AOR = 1.56, 95% CI 1.40-1.73). History of opioid overdose was not associated with naloxone (AOR = 0.92, 95% CI 0.74-1.15). The percent of patients receiving naloxone increased, yet less than 2% of patients in any of the key overdose risk factor groups received naloxone by the last 6 months of the study period.

Conclusions: Naloxone prescribing has increased and was more likely to be co-prescribed to patients with some risk factors for overdose. However, overall prescribing remains minimal. Additional efforts are needed across health systems to increase naloxone prescribing for patients at risk for opioid overdose.

Keywords: : overdose prevention; naloxone; opioid use disorder; opioids.

PubMed Disclaimer

Conflict of interest statement

Dr. Brummett reported holding a patent for peripheral perineural dexmedetomidine licensed to the University of Michigan, being a consultant for Recro Pharma and Heron Therapeutics, and receiving research funding from Neuros Medical. All remaining authors declare that they do not have a conflict of interest.

Figures

Figure 1
Figure 1
Patient sample flow diagram.
Figure 2
Figure 2
Trends in percentage of patients filling naloxone among categories of patients at high risk for overdose (i.e., separate denominators of patients)). See Appendix Table 6 for counts of naloxone fills across each high-risk group.

Comment in

References

    1. Hedegaard H., Minino A.M., Warner M. Drug Overdose Deaths in the United States, 1999-2017. NCHS Data Brief, no 329. Hyattsville, MD: National Center for Health Statistics; 2018. - PubMed
    1. Chou R, Korthuis PT, McCarty D, et al. Management of suspected opioid overdose with naloxone in out-of-hospital settings: a systematic review. Ann Intern Med. 2017;167(12):867–875. doi: 10.7326/M17-2224. - DOI - PubMed
    1. Dunn Kelly E., Barrett Frederick S., Bigelow George E. Naloxone formulation for overdose reversal preference among patients receiving opioids for pain management. Addictive Behaviors. 2018;86:56–60. doi: 10.1016/j.addbeh.2018.03.011. - DOI - PMC - PubMed
    1. Pitt AL, Humphreys K, Brandeau ML. Modeling health benefits and harms of public policy responses to the US opioid epidemic. Am J Public Health. 2018;108(10):1394–1400. doi: 10.2105/AJPH.2018.304590. - DOI - PMC - PubMed
    1. Behar E, Bagnulo R, Coffin PO. Acceptability and feasibility of naloxone prescribing in primary care settings: a systematic review. Prev Med. 2018;114:79–87. doi: 10.1016/j.ypmed.2018.06.005. - DOI - PMC - PubMed

Publication types