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Regnier SD, Stoops WW, Lile JA, Alcorn JL, Bolin BL, Reynolds AR, Hays LR, Rayapati AO, Rush CR. Naltrexone-bupropion combinations do not affect cocaine self-administration in humans. Pharmacol Biochem Behav 2023; 224:173526. [PMID: 36805862 PMCID: PMC10865090 DOI: 10.1016/j.pbb.2023.173526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 02/06/2023] [Accepted: 02/07/2023] [Indexed: 02/21/2023]
Abstract
The FDA has not yet approved a pharmacotherapy for cocaine use disorder despite nearly four decades of research. This study determined the initial efficacy, safety, and tolerability of naltrexone-bupropion combinations as a putative pharmacotherapy for cocaine use disorder. Thirty-one (31) non-treatment seeking participants with cocaine use disorder completed a mixed-design human laboratory study. Participants were randomly assigned to the naltrexone conditions (i.e., 0, 50 mg/day; between-subject factor) and maintained on escalating doses of bupropion (i.e., 0, 100, 200, 400 mg/day; within-subject factor) for at least four days prior to the conduct of experimental sessions. Cocaine self-administration (IN, 0, 40, 80 mg) was then determined using a modified progressive ratio and relapse procedure. Subjective and cardiovascular effects were also measured. Cocaine produced prototypical dose-related increases in self-administration, subjective outcomes (e.g., "Like Drug"), and cardiovascular indices (e.g., heart rate, blood pressure) during placebo maintenance. Naltrexone and bupropion alone, or in combination, did not significantly decrease self-administration on either procedure. Low doses of bupropion (i.e., 100 mg) blunted the effects of the cocaine on subjective measures of "Like Drug" and "Stimulated". No unexpected adverse effects were observed with naltrexone and bupropion, alone and combined, in conjunction with cocaine. Together, these results do not support the use of these bupropion-naltrexone combinations for the treatment of cocaine use disorder. Future research should determine if novel drug combinations may decrease cocaine self-administration.
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Affiliation(s)
- Sean D Regnier
- Department of Behavioral Science, University of Kentucky College of Medicine, 1100 Veterans Drive, Medical Behavioral Science Building, Lexington, KY 40536-0086, USA.
| | - William W Stoops
- Department of Behavioral Science, University of Kentucky College of Medicine, 1100 Veterans Drive, Medical Behavioral Science Building, Lexington, KY 40536-0086, USA; Department of Psychiatry, University of Kentucky College of Medicine, 245 Fountain Court, Lexington, KY 40509-1810, USA; Department of Psychology, University of Kentucky College of Arts and Sciences, 171. Funkhouser Drive, Lexington, KY 40506-0044, USA; Center on Drug and Alcohol Research, University of Kentucky College of Medicine, 845 Angliana Ave, Lexington, KY 40508, USA.
| | - Joshua A Lile
- Department of Behavioral Science, University of Kentucky College of Medicine, 1100 Veterans Drive, Medical Behavioral Science Building, Lexington, KY 40536-0086, USA; Department of Psychiatry, University of Kentucky College of Medicine, 245 Fountain Court, Lexington, KY 40509-1810, USA; Department of Psychology, University of Kentucky College of Arts and Sciences, 171. Funkhouser Drive, Lexington, KY 40506-0044, USA.
| | - Joseph L Alcorn
- Department of Behavioral Science, University of Kentucky College of Medicine, 1100 Veterans Drive, Medical Behavioral Science Building, Lexington, KY 40536-0086, USA.
| | - B Levi Bolin
- Department of Behavioral Science, University of Kentucky College of Medicine, 1100 Veterans Drive, Medical Behavioral Science Building, Lexington, KY 40536-0086, USA.
| | - Anna R Reynolds
- Department of Behavioral Science, University of Kentucky College of Medicine, 1100 Veterans Drive, Medical Behavioral Science Building, Lexington, KY 40536-0086, USA
| | - Lon R Hays
- Department of Psychiatry, University of Kentucky College of Medicine, 245 Fountain Court, Lexington, KY 40509-1810, USA.
| | - Abner O Rayapati
- Department of Psychiatry, University of Kentucky College of Medicine, 245 Fountain Court, Lexington, KY 40509-1810, USA.
| | - Craig R Rush
- Department of Behavioral Science, University of Kentucky College of Medicine, 1100 Veterans Drive, Medical Behavioral Science Building, Lexington, KY 40536-0086, USA; Department of Psychiatry, University of Kentucky College of Medicine, 245 Fountain Court, Lexington, KY 40509-1810, USA; Department of Psychology, University of Kentucky College of Arts and Sciences, 171. Funkhouser Drive, Lexington, KY 40506-0044, USA.
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Improving translation of animal models of addiction and relapse by reverse translation. Nat Rev Neurosci 2020; 21:625-643. [PMID: 33024318 DOI: 10.1038/s41583-020-0378-z] [Citation(s) in RCA: 97] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/02/2020] [Indexed: 12/13/2022]
Abstract
Critical features of human addiction are increasingly being incorporated into complementary animal models, including escalation of drug intake, punished drug seeking and taking, intermittent drug access, choice between drug and non-drug rewards, and assessment of individual differences based on criteria in the fourth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV). Combined with new technologies, these models advanced our understanding of brain mechanisms of drug self-administration and relapse, but these mechanistic gains have not led to improvements in addiction treatment. This problem is not unique to addiction neuroscience, but it is an increasing source of disappointment and calls to regroup. Here we first summarize behavioural and neurobiological results from the animal models mentioned above. We then propose a reverse translational approach, whose goal is to develop models that mimic successful treatments: opioid agonist maintenance, contingency management and the community-reinforcement approach. These reverse-translated 'treatments' may provide an ecologically relevant platform from which to discover new circuits, test new medications and improve translation.
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