José Ferraz-Caetano, Filipe Teixeira, M Natália D S Cordeiro
Data-driven, explainable machine learning model for predicting volatile organic compounds' standard vaporization enthalpy
Chemosphere
study aimed characterize attitudes identify gaps trainee knowledge education may impact fields readiness reemergence psychedelic use psychiatry twopart survey sent targeting medical allied professional trainees may interact patients using planning use psychedelics therapeutically collected data part one characterized demographics sources information attitudes experiences amount type education available psychedelics training programs part two assessment psychedelic literacy predictors trainee knowledge analyzed total 473 responses obtained 221 unique complete thought authentic therefore included results indicated trainees learned psychedelics related therapies wide variety sources notably social media wordofmouth correlate increased knowledge limited structured education available although overall knowledge low participation programming home institutions predict greater psychedelic literacy psychedelics becoming increasingly available research use medicine advances inclusion relevant material academic training programs essential prepare future professionals effectively educate counsel patients