Behavioral Neurobiology of Alcohol Addiction: A Decade of Great Challenges, New Hopes, and Hypes.
Current topics in behavioral neurosciences – July 12, 2025
Source: PubMed
Summary
A major challenge in treating alcohol use disorder (AUD) is the 'valley of death' where promising animal models rarely translate into human therapies, despite advances in addiction theory. Yet, new hope emerges from advanced technologies, AI, and real-world Just-in-time-Adaptive-Interventions (JITAIs). Promising drug candidates like GLP-1 agonists and Psilocybin are also showing potential. Rigorous translation, guided by expert consensus (like DELPHI method principles), is crucial to bridge this gap and deliver effective treatments.
Abstract
Over a decade after the first edition of "Behavioral Neurobiology of Alcohol Addiction," this chapter revisits the field at a critical juncture, marked by both persistent challenges and emerging opportunities. We reflect on the translational gap that has stalled the development of new treatments for alcohol use disorder (AUD), despite decades of promising preclinical findings. Particular attention is given to the replicability crisis in animal research, publication biases, and the limited predictive validity of existing models. At the same time, we highlight advances that offer renewed hope, including molecular and circuit-level technologies, AI-driven data analysis, real-world assessments, and new pharmacological candidates, such as GLP-1 agonists and psychedelics. These breakthroughs are considered alongside the increasing recognition of inflammation, pain, and neuroimmune factors as integral to AUD. However, we caution against exaggerated claims and urge the field to avoid oversimplified models, especially those that conflate habits and compulsions. Finally, we argue that neurobiological progress must be complemented by public health strategies aimed at reducing stigma and improving access to care. By fostering empirical rigor, embracing complexity, and maintaining critical self-reflection, addiction science can better align its innovations with real-world clinical and societal needs.