The Division on Addiction is currently working on the following projects:
- An Evidence-based Approach to Understanding Daily Fantasy Sports Activities
- CARS DSM-5 (CARS-5) Conversion Project 2018
- Clinical Research & Training Collaboration between the Tung Wah Group of Hospitals Integrated Center for Addiction Prevention and Treatment (ICAPT) and the Division on Addiction, Cambridge Health Alliance
- Developing a Computerized Assessment and Referral System (CARS)
- Evaluating and Enhancing GameSense: Public Health, Social Science, and Business Perspectives
- The GVC-Division on Addiction Internet Gambling Research Collaborative
- Building Cultures of Recovery in Tribal Nations (NARCH X)
- Responsible Drinking: A Synthesis for Empirical Evidence
- Updating and Refining Problem Gambling Treatment Guidelines for Treatment & Practice
- Expanding Peer to Peer Opportunities
The Division is committed to challenging stigma and misinformation about addiction, and its work represents worldwide collaborations. The Division’s primary research areas of interest include:
- Psychiatric comorbidity of DUI offenders
- Psychiatric comorbidity and addiction
- Epidemiology of gambling- and gaming-related problems
- Substance use disorders
- Addiction treatment and treatment outcomes, including relapse
- Addiction among vulnerable populations
- Theories and models of addiction
- Etiology of addiction
The Division supports open science through The Transparency Project—a data sharing repository.
The Division supports scientific dissemination through The BASIS—a free weekly research summary.
The Division’s research agenda is driven, in part, by the Syndrome Model of Addiction, an overarching theoretical framework that conceptualizes various expressions of addiction (i.e., chemical or behavioral) as opportunistic disorders that have common underlying etiological factors. Figure 1 illustrates of these relationships.
The Division uses a syndrome framework to understand addiction as a cluster of symptoms and signs with multiple opportunistic expressions, as well as to test various aspects of the model and disseminate findings. The Division has produced more than 150 publications to date. For a complete list, visit our online Library.