Pain Severity Trajectories and Patient Profiles in Chronic Pain Patients Treated with Cannabis‐Based Medicinal Products: A k‐Means Clustering Analysis of the UK Medical Cannabis Registry
Simon Erridge, Aritra Datta, Aditya Mukherjee, Dhruv Vasooja, Ross Coomber, Sushil Beri, Shaheen A Khan, Mark W Weatherall, Michael W Platt, James J Rucker, Pedro A M Mediano, Mikael H Sodergren · 2026
Read Pain Severity Trajectories and Patient Profiles in Chronic Pain Patients Treated with Cannabis‐Based Medicinal Products: A k‐Means Clustering Analysis of the UK Medical Cannabis Registry by Simon Erridge, Aritra Datta, Aditya Mukherjee, Dhruv Vasooja, Ross Coomber, Sushil Beri, Shaheen A Khan, Mark W Weatherall, Michael W Platt, James J Rucker, Pedro A M Mediano, Mikael H Sodergren (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13673507.txt.
Description
Simon Erridge and a large team of co-authors tracked pain paths in 2026 among chronic pain patients given cannabis-based medicines in the United Kingdom. Evidence for these products stays thin, and patients clearly differ in how they respond. The team grouped nearly four thousand registry patients by how their pain scores moved over two years.
Every group ended below its starting pain, and quality of life, anxiety, and sleep also improved overall. Five clear path types emerged, from fast improvers to slow ones. Fewer than one in six patients reported side effects, mostly mild. Starting sleep, anxiety, and the reason for treatment predicted the path better than the product or dose. The authors say such profiles could guide who gets these medicines.
Catalog record
| CREATOR | Simon Erridge, Aritra Datta, Aditya Mukherjee, Dhruv Vasooja, Ross Coomber, Sushil Beri, Shaheen A Khan, Mark W Weatherall, Michael W Platt, James J Rucker, Pedro A M Mediano, Mikael H Sodergren |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 57 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |