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Psychedelic training program development: lessons from the evolution of the EMBARK program.

William Brennan, Melissa Field, Catherine Schon, Amir Inamdar, Alex Kelman

Frontiers in psychology January 1, 2025 DOI: 10.3389/fpsyg.2025.1637887 via PubMed

Summary

AI-generated from the abstract

The EMBARK training program for session monitors in clinical trials of psychedelic treatments was developed iteratively by Cybin, Inc. The program has been used in two completed and three ongoing clinical trials. This article describes the three phases of development, including core components, successes, lessons learned, and rationale for changes. The most recent iteration, EMBARKCT, used in Phase 3 trials, incorporates artificial intelligence with expert human oversight to identify when session monitors need additional support and training. Recommendations for the field are also discussed.

Study at a glance

Characteristics Descriptive article Peer reviewed
Topics Psychedelic-assisted therapy
Keywords Evidence-based training approaches Psychedelic medicine Psychedelic treatments Training program development
Key finding The EMBARK training program has been developed iteratively and used in multiple clinical trials, with its latest version incorporating AI-assisted oversight of session monitors.

Abstract

The field of psychedelic medicine is currently developing evidence-based standards and core competencies for training providers who offer psychedelic treatments. This article contributes to this effort by describing the iterative development of the EMBARK training program. This program has been developed by Cybin, Inc. for training session monitors in clinical trials of psychedelic treatments. The EMBARK training program has been used in two successfully completed clinical trials and three ongoing trials. This article details each of the three phases of the EMBARK training program's development, including their core components, what worked well, lessons learned, and the rationale for any changes made. Innovations included in EMBARKCT, the most recent iteration of the training used in Cybin's Phase 3 trials, are also discussed. These innovations include the use of artificial intelligence (AI) with expert human oversight to identify the need for additional support and training for session monitors. Finally, recommendations and implications for the field are discussed in this article.

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