Abstract
Despite decades of research in the field of addiction, relapse rates for substance use disorders remain high. Consequently, there has been growing focus on providing evidence-based treatments for substance use disorders, resulting in the increased development and use of cognitive and psychological interventions. Such treatment approaches, including contingency management, community-reinforcement approach, and cognitive bias modification, have shown promising clinical efficacy in reducing substance use and promoting abstinence during treatment. However, these interventions are still somewhat limited in achieving sustained periods of abstinence post-treatment. The neurobiological mechanisms underpinning these treatment approaches remain largely unknown and under-studied, in part, due to a lack of translational animal models. The adoption of a reverse translational approach may assist in development of more representative models that can facilitate elucidation of the mechanisms behind these clinically relevant interventions. This review examines our current understanding of addiction neurobiology from clinical, preclinical research and existing animal models, and considers how the efficacy of such behavioral-oriented interventions alone, or in combination with pharmacotherapy, may be enhanced to improve treatment outcomes.
| Original language | English |
|---|---|
| Article number | 104899 |
| Number of pages | 13 |
| Journal | Neuroscience and Biobehavioral Reviews |
| Volume | 142 |
| DOIs | |
| Publication status | Published - Nov 2022 |
Keywords
- Cognitive bias modification
- Combinatory treatment
- Community-reinforcement approach
- Contingency management
- Reverse translation
- Substance use disorder
Projects
- 1 Active
-
Linking clinical and basic science discovery to find new treatments for alcohol use disorder
Haber, P. S. (Primary Chief Investigator (PCI)), Morley, K. C. (Chief Investigator (CI)), Lawrence, A. J. (Chief Investigator (CI)), Manning, V. (Chief Investigator (CI)), Lubman, D. (Chief Investigator (CI)), McNally, G. P. (Chief Investigator (CI)), Millan, Z. (Chief Investigator (CI)), Arunogiri, S. (Chief Investigator (CI)), Verdejo-Garcia, A. (Associate Investigator (AI)), Walker, L. (Associate Investigator (AI)), Logge, W. (Associate Investigator (AI)), Ogeil, R. (Associate Investigator (AI)), Leggio, L. (Associate Investigator (AI)), Kranzler, H. (Associate Investigator (AI)), Baillie, A. (Associate Investigator (AI)), Grunstein, R. (Associate Investigator (AI)), Perry, C. (Associate Investigator (AI)) & Bonomo, Y. A. (Associate Investigator (AI))
3/02/22 → 31/12/26
Project: Research
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