Submit a Manuscript to the Journal
Journal of Addictive Diseases
For a Special Issue on
AI in Addiction Medicine: Bridging Innovation and Clinical Practice
Abstract deadline
Manuscript deadline
Special Issue Editor(s)
R. Gregory Lande, D.O., rglande@gmail.com
AI in Addiction Medicine: Bridging Innovation and Clinical Practice
Artificial Intelligence (AI) has the potential to revolutionize healthcare, yet its application in addiction medicine remains underdeveloped. Emerging technologies can address critical gaps by integrating clinical expertise with data analytics to improve diagnosis, treatment, and proactive care. This call for papers invites interdisciplinary contributions to explore AI’s role in transforming addiction care while addressing ethical, practical, and systemic challenges.
Key Themes and Research Priorities
- Clinical Tools: Chatbots providing 24/7 support though AI dialogue and AI role-play scenarios for real-world challenge simulation; decision-support systems identifying potential drug interactions, optimizing dosages, and synthesizing EHRs, lab data, social determinants, and cultural factors into personalized care plans. Tailoring interventions for patients with co-occurring disorders (e.g., depression, PTSD). Utilization of AI in contingency management.
- Predictive Analytics: Early detection of substance use disorders through pattern recognition in behavioral or epidemiological data; forecasting return to use risks, forecasting suicide likelihood, or treatment non-adherence to enable timely interventions,utilization of AI prediction modeling of possible returns-to-use.
- Real-Time Monitoring: Wearable devices paired with AI to track physiological stress markers or cravings and trigger coping strategies during recovery.
- Balancing Efficiency with Empathy: Preventing depersonalization of care while maintaining human connection in AI-driven interactions.
- Clinical Oversight: Safeguarding clinician autonomy against overreliance on AI tools.
- Interdisciplinary Perspectives: Commentaries, position papers, and ethical frameworks addressing tensions between technology, clinical practice, and policy. AI across worldwide geographic regions.
- Recovery Support: Wearables and AI for real-time stress/craving monitoring and adaptive coping strategies.
- Ethical Frameworks: Guidelines to mitigate algorithmic bias in marginalized communities, equity, transparency, and human-centric design in AI applications.
- Human-AI Collaboration: Strategies balancing AI recommendations with clinician judgement, empathy, and cultural competence.
- Policy: Shaping practice standards through interdisciplinary collaboration.
- Utilization of AI in documentation and record-keeping.
Submission Instructions
We invite submissions across the following article types: Full or short reports, original research, systematic reviews/meta-analyses, narrative reviews, case reports, policy positions, and best practice guidelines.
Abstracts for Early Feedback: Submit 250–300-word abstracts by December 31, 2025, including a short bibliography, to rglande@gmail.com for constructive feedback.
Full Paper Submissions: Deadline March 31, 2026; manuscripts must adhere to the journal’s formatting guidelines which can be found in our instructions for authors (https://www.tandfonline.com/action/authorSubmission? show=instructions&journalCode=wjad20).
Peer Review: All submissions will undergo peer review. Only those meeting the journal’s standards will be accepted for publication.
When you submit your manuscript, please clearly label it for “AI in Addiction Medicine” for consideration in this Special Issue. For any questions, contact the Editor R. Gregory Lande, DO at rglande@gmail.com.