Predictors of Medical Students' Perceptions of Psilocybin-Assisted Therapy for Use in Medical Practice.

Background Psilocybin use, along with other psychedelics, has seen an increased interest among professionals in the medical community due to its potential therapeutic benefits for psychiatric disorders, substance use disorders (SUD), and palliative care. While it is certain that more research is necessary as psychedelic-assisted therapy becomes more prevalent, it will most likely be future physicians at the forefront of this neoteric care. Currently, physicians receive minimal training because of psilocybin's contextual information and its current enlistment as a Schedule 1 drug per the United States Drug Enforcement Administration. Schedule 1 drugs, substances, or chemicals are defined as drugs with no currently accepted medical use and a high potential for abuse. As a rule, formal education on psilocybin is not included in medical school curricula, and very little is known about how medical students perceive it. The aim of this study was thus to assess current medical students' perceptions of their knowledge, concern for possible negative effects, and perceptions about medical psilocybin to provide a deeper understanding of which factors may predict their overall perceptions of its future therapeutic use. Methods Medical students' knowledge, concern for potential adverse effects, and perceptions of medical psilocybin were investigated using a cross-sectional survey study design. Data were collected in January 2023 from a convenience sample of United States medical students in years one to four of their program using a 41-item anonymous quantitative online survey. Multivariate linear regression modeling was performed to determine if perceived knowledge and beliefs about legalization would predict medical students' attitudes about psilocybin use for therapeutic purposes. Results Two hundred and thirteen medical students completed the survey. Seventy-three percent (n=155) were osteopathic medical students (OMS), and 27% (n=58) were allopathic medical students (MDS). Regression modeling produced a statistically significant equation: (