Machine-learning of medical cannabis chemical profiles reveals analgesia beyond placebo expectations

Our findings demonstrate that pain relief can be predicted from cannabis chemical profiles that are unknown to patients, providing evidence for compound-specific therapeutic effects. These results highlight the importance of considering the full range of cannabis compounds when developing more precise and effective cannabis-based therapies for pain management.

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Publication Details

Journal
Communications Medicine
Published
2025-07-16
DOI
https://doi.org/10.1038/s43856-025-00996-3
Primary Topic
Cannabis and Cannabinoid Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Machine-learning of medical cannabis chemical profiles reveals analgesia beyond placebo expectations

Yelena Vysotski, Anna Shapira, David Meiri, Shiri Procaccia et al.
Communications Medicine
Cannabis and Cannabinoid Research
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Machine-learning of medical cannabis chemical profiles reveals analgesia beyond placebo expectations

Yelena Vysotski, Anna Shapira, David Meiri, Shiri Procaccia, Dvir Aran, Adi Hatav
article en

Abstract

Our findings demonstrate that pain relief can be predicted from cannabis chemical profiles that are unknown to patients, providing evidence for compound-specific therapeutic effects. These results highlight the importance of considering the full range of cannabis compounds when developing more precise and effective cannabis-based therapies for pain management.

Communications MedicineVol. 5(1)
Technion – Israel Institute of Technology (IL)
Zero hunger
Openalex Percentile: Top 80%
Cannabis and Cannabinoid Research
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