Factors predicting access to medications for opioid use disorder for housed and unhoused patients: A machine learning approach.

Journal: PloS one
Published Date:

Abstract

BACKGROUND: Opioid use disorder (OUD) is a growing public health crisis, with opioids involved in an overwhelming majority of drug overdose deaths in the United States in recent years. While medications for opioid use disorder (MOUD) effectively reduce overdose mortality, only a minority of patients are able to access MOUD; additionally, those with unstable housing receive MOUD at even lower rates.

Authors

  • Aaron Esguerra
    College of Human Medicine, Michigan State University, Grand Rapids, Michigan, United States of America.
  • Thomas J Weinandy
    Upside, Washington, District of Columbia, United States of America.