[Viewpoint] Ethical challenges and opportunities for integrating predictive analytics in community-based overdose prevention

As predictive analytics become more widely integrated into local public health responses to the United States overdose epidemic, community-based substance use service providers have begun to adopt machine learning-based predictive tools to guide the allocation and delivery of overdose prevention services. While these tools hold promise for anticipating community overdose risk and enhancing the efficiency of overdose prevention resource distribution, outreach, and education efforts, their use in community settings raises substantial ethical and practical challenges.