Public Health

Fireside Project's 25,000+ Psychedelic Support Dataset: US Evidence for Policy and Practice

The Fireside Database offers the largest open dataset on nonclinical psychedelic support in the US, providing critical insights into user demographics, substance use patterns, and support outcomes for research and policy.

Published October 30, 2026 Read 3 min 676 words By The Psychedelic Journal Reviewed by Dr. Michael Teplitsky

Fireside Project Releases Landmark Psychedelic Support Dataset

The Fireside Project has published the largest open dataset of real-world psychedelic support interactions in the United States, documenting 25,419 peer support calls and texts from April 2021 to February 2026. This resource, known as the Fireside Database, captures structured logs and metadata from 220 trained volunteers staffing the Fireside Psychedelic Support Line, and includes 2,777 caller satisfaction surveys. The dataset is accessible via OpenAlex and marks a significant advance for researchers, clinicians, and policymakers seeking to understand nonclinical psychedelic use and support needs.

Mechanism and Data Structure: How the Fireside Database Works

The Fireside Database systematically records the circumstances, substances, and outcomes of support interactions, providing granular detail on the real-world context of psychedelic use. Each interaction log includes anonymized information about the caller's demographics, the substance involved, the nature of the support requested, and the outcome as coded by both the volunteer and, where available, the caller. Notably, 59.9% of coded interactions involved psilocybin, while cannabis accounted for the highest distress rate at 47.2% of cases involving that substance. The nested data structure, with 50 supporters each completing at least 10 surveyed interactions, enables robust multilevel modeling to assess not only general trends but also the impact of individual supporter approaches on caller outcomes—a feature rarely available in peer support research.

Policy and Research Implications: Filling a Critical Evidence Gap

The Fireside Database fills a longstanding evidence gap as US policy frameworks increasingly accommodate nonclinical and community-based psychedelic use. Prior to this release, systematic data on who seeks support, under what conditions, and what makes that support effective were virtually nonexistent. The dataset's scale and detail offer several concrete benefits:

One non-obvious implication is that outcome data linked to individual supporters may reveal not just what works, but for whom—enabling tailored approaches to support that account for both user and supporter characteristics.

Risks, Unknowns, and Limitations

Despite its scale, the Fireside Database has limitations that researchers and policymakers must consider. The data are self-reported and subject to selection bias: individuals who seek peer support may differ systematically from those who do not, and the sample may not capture the most severe or private adverse events. The dataset is also limited to the US context and to those willing to engage with a support line, potentially underrepresenting marginalized or less-connected populations. Additionally, while outcome surveys provide valuable feedback, they may be influenced by immediate emotional states or social desirability bias.

Another real-world failure mode is the risk of overgeneralizing from support line data to broader community or clinical settings. The nuances of peer support—volunteer training, caller anonymity, and the absence of medical intervention—may not translate directly to regulated or therapeutic environments. As such, findings should inform, but not dictate, clinical or policy decisions without further validation.

Looking Ahead: Research, Policy, and Community Impact

The Fireside Database represents a foundational resource for the next generation of psychedelic research and policy development. As more jurisdictions experiment with legal or decriminalized frameworks for psychedelic use, real-world data on user needs and effective support will be essential for minimizing harm and maximizing benefit. Ongoing analysis of this dataset can inform adaptive training, targeted outreach, and the design of both digital and in-person support services. Crucially, the database sets a precedent for transparency and open science in the field, encouraging other organizations to share anonymized support data for public benefit.

How we research / reviewed by Dr. Alex Rivera, PhD (Neuroscience) on 2026-11-01.

Primary source: https://openalex.org/W7203593971 — referenced for fact-checking; this analysis is independent commentary by the The Psychedelic Journal editorial team.
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