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A Heuristic Approach: Against Consensus Definitions of Psychedelics
Lauren Lepow1,2, Hope Kronman3,4, Rachel Yehuda1,2,5
1Department of Psychiatry and Neuroscience, Icahn School of Medicine Mount Sinai, New York, New York, USA.
Psychedelic Medicine (New Rochelle, N.Y.)
|March 6, 2025
Summary
Psychedelic research needs flexible definitions. Instead of consensus, use data science to iteratively refine understanding of psychedelic medicines and their effects on the mind and brain.
Area of Science:
- Neuroscience
- Psychopharmacology
- Psychedelic Research
Background:
- The field of psychedelic research and therapy is rapidly expanding.
- There is a growing need for standardized terminology in psychedelic science.
- Current attempts at consensus definitions may prematurely limit scientific inquiry.
Purpose of the Study:
- To evaluate the advantages and disadvantages of establishing consensus definitions for psychedelic substances.
- To propose an alternative framework for acquiring knowledge about psychedelic medicines.
- To encourage a more dynamic and iterative approach to defining concepts in psychedelic research.
Main Methods:
- Conceptual analysis of the risks and benefits of consensus definitions.
- Proposal of a framework for data and knowledge acquisition in psychedelic research.
- Leveraging modern data science and computational tools for heuristic characterization.
Main Results:
- Proclaiming premature consensus definitions may hinder scientific progress.
- Psychedelics can be viewed as heuristic tools for exploring the mind-brain.
- Data science offers powerful methods for characterizing complex psychedelic variables.
Conclusions:
- An iterative approach using computational tools can lead to more rigorous and reproducible definitions.
- The field should prioritize a framework that embraces evolving knowledge.
- Psychedelic research can benefit from viewing these substances as catalysts for novel theories.
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