Under funding from the Centers for Disease Control and Prevention, we have constructed a complex model of opioid use disorder in the Framework for Reconstructing Epidemic Dynamics (FRED) an agent-based modeling platform developed by the Public Health Dynamics Laboratory at the University of Pittsburgh School of Public Health.  The model combines data on individual characteristics (age, gender, race, metal health history, opioid use history) with characteristics from the geographic location in which the individual resides (density of OUD disorders, amount of Fentanyl, availability of naloxone and buprenorphine) to estimate the likelihood that an individual progresses through different states of opioid use disorder.  Using data from the literature, we estimate the impact of various interventions on the number of people with OUD and the number of OUD-related deaths. We are developing county-specific front-end to estimates the impact of combinations of interventions.