This brief proposes a school-based prevention model that uses predictive analytics to identify youth at high risk for substance use disorders and connect them to targeted support, including counseling, mentorship, and structured programming. By intervening early within existing school systems, the model aims to reduce addiction rates, improve student outcomes, and lower long-term social and economic costs.

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October 12, 2025