Effects of Buprenorphine, Methadone and Substance-Use on COVID-19 Morbidity and Mortality

Abstract

Objectives: Substance use disorder has been associated with increased morbidity in COVID-19 infection. However, less is known about the impact of active substance use and medications for opioid use disorder (MOUD) on COVID-19 outcomes. We conducted a retrospective cohort study to evaluate the impact of substance use, namely cannabis, cocaine, alcohol, sedative and opioid use as well as buprenorphine or methadone = on COVID-19 morbidity and mortality. Methods: Using electronic-health record data at a large urban hospital system, patients who tested positive for COVID-19 between January 1, 2020 to December 31, 2021 were included. Substance use was identified from urine toxicology and MOUD prescriptions within 90 days prior to admission. COVID-19 outcomes included mortality, ICU admission, need for ventilatory support, number and duration of hospitalizations. Multivariable logistic regression was performed controlling for variables such as age, sex, medical comorbidity, tobacco use, and social disadvantage. Results: Among COVID-19 positive patients (n=17,423), sedative, cannabis, cocaine, and opioid use was associated with statistically significant increases in need for ICU care, need for ventilatory support, number of hospitalizations and duration of hospitalization. Substance use was not associated with an increase in all-cause mortality. There were no statistically significant differences between methadone, buprenorphine and other opioids on COVID-19 outcomes. Conclusions: Active substance use were associated with increased morbidity in COVID-19 infection. MOUD was not associated with worse COVID-19 outcomes compared to OUD. Future studies focused on MOUD treatments that reduce morbidity may help improve clinical outcomes in COVID-19.

Competing Interest Statement

The authors have declared no competing interest.

Funding Statement

Nicholaus Christian's effort was sponsored by HSR&D post-doctoral fellowship through the VA Office of Academic Affairs. Rajiv Radhakrishnan's effort was supported by NIDA grant (R21DA057540).

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The study was approved for exemption of full-review and waiver of written informed consent by Yale University Institutional Review Board (IRB).

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Data Availability

All data produced in the present study are available upon reasonable request to the authors

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