Establishment of Multi-stage Models of Drug Taking and Seeking in Mice

Abstract

A genetically tractable animal model would provide a needed strategy to resolve the biological basis of drug addiction. Intravenous self-administration (IVSA) is the gold standard for modeling cocaine and opioid addiction in animals, but technical limitations have precluded the widespread use of IVSA in mice. Here, we describe the first IVSA paradigms for mice that capture the multi-stage nature of the disease and permit predictive modeling. Mice with long-standing indwelling jugular catheters engaged in cocaine or opioid-associated lever responding that was fixed ratio- and dose-dependent, extinguished by the withholding of drug, and reinstated by the presentation of paired cues. Machine learning revealed that vulnerability to drug seeking and relapse were predicted by a mouses a priori response to novelty, sensitivity to drug-induced locomotion, and drug-taking behavior. Application of this behavioral and analysis approach to genetically-engineered mice will facilitate the identification of the neural circuits driving addiction susceptibility and relapse and focused therapeutic development.