Informed Consent Documents from Psychedelic Clinical Trials: A Descriptive Ethical Analysis.
AJOB empirical bioethics – July 16, 2025
Source: PubMed
Summary
How do we truly inform participants about unique psychedelic experiences? Analyzing informed consent documents from psilocybin clinical trials, researchers found that while essential risks were well-covered, details specific to altered states, like ineffability, were less common. This highlights ongoing efforts in psychedelic bioethics to develop enhanced consent, ensuring comprehensive participant understanding for psychedelic clinical trials.
Abstract
Classic psychedelics, such as psilocybin and LSD, evoke certain kinds of altered states of consciousness. Specific features of the experience, such as its allegedly ineffable nature, have been discussed as posing challenges to the informed consent process. A growing call for tailored informed consent documents (ICDs) in the psychedelic bioethics literature raises the question of how closely ICDs used in contemporary psychedelic trials reflect the concrete suggestions and proposals offered by psychedelic bioethicists. In this article, we review ICDs from psilocybin clinical trials in the United States. Using a content analysis approach, we provide a systematic qualitative description of the ICDs which comprise our final sample (N = 28; 28 clinical trials across 13 unique sites). Coders demonstrated good reliability (κ = .683). Qualitative analyses revealed that most of the coding aligned with expectations based upon the psychedelics bioethics literature, such as the emphasis on mental health risks and physical risks in ICDs. Notably, psychedelic-specific codes (e.g., ineffability, therapeutic touch) did not appear as frequently in ICDs. Scholars in psychedelic bioethics have called for the inclusion of a variety of potential risks and benefits in ICDs. It will be important to continue debating which elements are worth including in ICDs such that potential research participants are presented with the most salient factors relevant to their decision about joining a study. We provide a table of best practices applied by our sample of ICDs.