Citalopram for treatment of cocaine use disorder: A Bayesian drop-the-loser randomized clinical trial

Abstract

BackgroundMedication development research for cocaine use disorder (CUD) has been a longstanding goal in addiction research, but has not resulted in an FDA-approved treatment. Rising cocaine use rates underscore the need for efficient adaptive designs. This study compared differences between two doses of the selective serotonin reuptake inhibitor (SSRI) citalopram (versus placebo) on duration of cocaine abstinence and applied adaptive decision rules to select the ‘best efficacy’ dose. MethodsA double-blind, placebo-controlled, randomized Bayesian drop-the-loser (DTL) trial with three arms compared placebo to citalopram 20 mg and 40 mg. Adults (N = 107) with CUD attended thrice-weekly clinic visits for 9 weeks. The primary outcome was longest duration of abstinence (LDA), based on continuous cocaine-negative urine drug screens (UDS). The secondary outcome was probability of cocaine-negative UDS during treatment. A planned interim analysis performed at approximately 50% of recruitment dropped the least-effective active medication. Bayesian inference was used for all analyses with a pre-specified posterior probability (PP) threshold PP ≥ 95% considered statistically reliable evidence ResultsCitalopram 40 mg satisfied interim efficacy criteria and was retained for the second half of the trial. For LDA, analyses indicated PP = 82% and PP = 65% of benefit for 40 mg and 20 mg, respectively (each relative to placebo). The odds of having cocaine-negative UDS decreased in all groups over 9 weeks but remained higher for 40 mg (PP = 97.4%) ConclusionsNeither dose met the 95% PP threshold for the primary outcome; however, 40 mg provided moderate-to-strong evidence for positive effects on LDA and cocaine-negative UDS. The 40 mg dose was declared the “winner” in this DTL trial.