  The United States (US) opioid crisis contributed to 81,806 fatalities in
2022. It has strained hospitals, treatment facilities, and law enforcement
agencies due to the enormous resources and procedures needed to respond to the
crisis. As a result, many individuals who use opioids never receive or finish
the treatment they need and instead have many interactions with hospitals or
the criminal justice system. This paper introduces a discrete event simulation
model that evaluates three opioid use disorder treatment policies: arrest
diversion, re-entry case management, and overdose diversion. Publicly available
data from 2011 to 2019 in Dane County, Wisconsin, was used to forecast
opioid-related outcomes through 2032. Through analyzing a variety of policy-mix
implementations, the study offers a versatile framework for evaluating policies
at various implementation levels. The results demonstrate that treatment
policies that create new pathways and programming by utilizing treatment
services and successfully divert at least 20% of eligible individuals can lead
to more opioid-resilient communities. The benefits increase when more policies
are enacted and/or offered to more individuals, with the largest impact from
overdose diversion, followed by re-entry case management, and the smallest
impact from arrest diversion. The cumulative total reduction in societal costs
from 2017 to 2032 ranges from \$68 M (USD) to \$1.06 B (USD), excluding
implementation costs of policies. To reverse the opioid crisis within a
community, treatment policies may need to be combined with other strategies,
such as harm reduction, supply reduction, and use prevention.
