Report Includes
- Impact analysis of artificial intelligence (AI) on the substance use disorder (SUD) and treatment market
- Case studies for successful integration of AI and machine learning algorithms in early detection and risk prediction, personalized treatment, digital therapeutics and virtual support
- Review of AI’s impact across the major geographic regions and end-user industries
- Review of disruptions caused by AI across key industry verticals and the impact on various stages of global supply chain
- Competitive landscape featuring strategic initiatives, market spendings and VC funding outlook
Table of Contents
Chapter 1 Key Use Cases for AI Adoption in Substance Use Disorders and Treatment Market- Overview
- Key Use Cases/Case Studies
- Case 1: Early Risk Identification and Screening
- Case 2: Virtual Therapists and AI-powered Support Systems
- Case 3: Improving Access to Care Through AI
- Case 4: Drug Discovery and Development
- Adoption Trends Across SUD Management Continuum
- Adoption Trends in SUD Screening and Diagnosis
- Adoption Trends in SUD Treatment
- Adoption Trends in Relapse Monitoring
- Adoption Trends in Population Analytics
- AI-led Disruption Across the Substance Use Disorder (SUD) Care Continuum
- Early Screening and Diagnostic Precision
- Drug Discovery and Development
- Personalized Pharmacotherapy Management
- Expansion of Treatment Access and Coverage
- Virtual Therapists and AI-Powered Support Systems
- Overview
- Abbreviations Used in the Report
Table 1: Companies Using AI in SUD Care
Table 2: Abbreviations Used in This Report
List of Figures
Figure 1: AI Application Areas and Impact Across the SUD Care Continuum

