RESPOND (Researching Effective Strategies to Prevent Opioid Death) is a cohort-based compartmental model that simulates a population with opioid use disorder (OUD), with characteristics including the natural history of OUD, movement on to and off of medication for opioid use disorder (MOUD) and with outcomes such as overdose and cost. The model can be used to evaluate the effectiveness and cost-effectiveness of different strategies for offering MOUD, and is informed by data from the Massachusetts Public Health Data Warehouse, clinical trials, and national insurance claims data. We calibrated the model using Massachusetts-specific estimates of disease prevalence, admissions to treatment facilities, and overdose deaths. To learn more about the model and view our figures and user guide check out our Model Materials.