A systematic review and meta-analysis of placebo-controlled, double-blind, randomized trials found that ketamine produces a rapid but short-lived antidepressant effect. In seven trials with 147 participants, ketamine greatly increased the odds of treatment response and transient remission of symptoms at 24 hours, though it also caused brief psychotomimetic and dissociative effects. When ketamine was added to electroconvulsive therapy (ECT) in five trials with 89 participants, depressive symptoms were reduced after the first treatment but not by the end of the ECT course. Other NMDA receptor antagonists generally did not show consistent efficacy, but two partial agonists, d-cycloserine and rapastinel, reduced depressive symptoms without psychotomimetic or dissociative effects. The fleeting benefit of ketamine, along with its abuse potential and neurotoxicity, warrant caution in clinical use.
Public perception of psychedelics has swung from extreme stigma to uncritical enthusiasm, creating obstacles for clinical application. This viewpoint argues that both poles are problematic and advocates for continued scientific study while encouraging critical examination of claims not supported by evidence. The authors call for a balanced approach that neither dismisses therapeutic potential nor overpromises benefits, emphasizing the need for rigorous research to guide responsible clinical integration.
For treatment-resistant mood disorders, intensive interventions such as electroconvulsive therapy, transcranial magnetic stimulation, ketamine, and esketamine are commonly used, but how genetics influences response to these therapies remains unclear. A review of the current literature finds that most studies have examined single variants in candidate genes, particularly COMT and BDNF, yet none have been consistently reproducible. Genome-wide association studies are few and mostly underpowered, with only one exceeding 1000 participants, yielding few statistically significant single nucleotide polymorphisms outside COMT and BDNF. Large-scale data collection is needed to establish genetic predictors and differentiate responses among treatments, a goal being pursued by the worldwide Gen-ECT-ic consortium.