Leveraging AI in Drug and Substance Abuse Recovery: A Systematic Approach to Reintegration and Rehabilitation for the Homeless

Abstract

Integrating artificial intelligence (AI) into drug abuse recovery programs offers a promising avenue for enhancing rehabilitation and reintegration efforts, particularly among homeless populations. This study aims to explore the application of AI-driven interventions in supporting substance abuse recovery and facilitating the reintegration of homeless individuals into society. Adopting a qualitative methodology, a systematic literature review and case study analysis were conducted to evaluate the effectiveness of AI interventions in rehabilitation programs across different settings. The findings suggest that AI can significantly improve treatment outcomes by tailoring interventions to individual needs, predicting relapse risks, and optimizing service delivery. However, the implementation of AI in this context also raises ethical considerations, including data privacy, potential biases in algorithmic decision-making, and the need for equitable access to technology-based interventions. This study recommends that policymakers, healthcare providers, and social service organizations implement targeted digital literacy programs, ensure accessibility, continuous research, and establish regulatory frameworks to safeguard ethical AI usage. This study concludes that, with careful application and oversight, AI has the potential to transform drug abuse recovery and social reintegration processes for homeless individuals, leading to more effective and efficient support systems.