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Area of Science:

  • Public Health
  • Epidemiology
  • Health Policy

Background:

  • Opioid overdose deaths remain a critical public health crisis in the US.
  • Opioid use disorder (OUD) presents complex epidemiological challenges.
  • Systems models can identify effective public health interventions for OUD.

Purpose of the Study:

  • To project the 3-year impact of public health interventions on opioid overdose outcomes.
  • To analyze the association between interventions and outcomes for individuals with OUD.

Main Methods:

  • A decision analytical simulation model of the US population (aged 12+) with OUD was developed.
  • The model was parameterized and calibrated using 2019-2020 data.
  • Simulated interventions were implemented between 2021-2023 to estimate outcome changes.

Main Results:

  • Without interventions, over 16 million persons with OUD were projected to not receive MOUD treatment by 2023.
  • Over 5 million nonfatal and 145,000 fatal opioid-involved overdoses were projected between 2021-2023.
  • Simulated interventions reducing overdose rates by 50% projected up to 36.6% decrease in fatal overdoses; MOUD initiation/retention interventions reduced OUD prevalence by 23.4%.

Conclusions:

  • Harm reduction interventions show the greatest potential for short-term reduction in fatal opioid overdoses.
  • Increasing MOUD initiation and retention can improve MOUD/OUD prevalence but requires a longer timeframe for overdose reduction.
  • Evidence-based interventions are crucial for mitigating the impact of OUD and opioid-involved overdoses.