An analysis of 17,789 Reddit posts and comments drawn from cannabis and medical marijuana communities found that CBG and CBN accounted for some of the highest shares of positive patient reports, particularly for pain, inflammation and sleep, according to the data scientist who compiled it. Sunehera Hasib, a data scientist and public health researcher, said she gathered the posts from seven subreddits — r/MMJ, r/hempflowers, r/trees, r/MedicalMarijuana, r/marijuana, r/MedicalCannabis_NI and r/CBD — and reported that 84.6 percent of posts noting a clear outcome described positive results.
Analysis of 17,789 Reddit posts finds patients report relief from CBG and CBN
An analysis of 17,789 Reddit posts and comments drawn from cannabis and medical marijuana communities found that CBG and CBN accounted for some of the highest shares of positive patient reports, particularly for pain, inflammation and sleep, according to the data scientist who compiled it. Sunehera Hasib, a data scientist and public health researcher, said she gathered the posts from seven subreddits — r/MMJ, r/hempflowers, r/trees, r/MedicalMarijuana, r/marijuana, r/MedicalCannabis_NI and r/CBD — and reported that 84.6 percent of posts noting a clear outcome described positive results.
Among CBG posts about inflammation, 40 of 40 outcome-reporting posts described a positive experience, the analysis said. CBG posts about pain were 97.1 percent positive (67 of 69 firsthand reports), CBN posts about sleep were 95.3 percent positive (122 of 128) and CBG posts about anxiety were 90.1 percent positive (73 of 81). For comparison, CBD alone for pain came in at 94.4 percent positive and THC alone at 90.1 percent, according to the analysis, which said CBG's sample sizes are smaller and that the comparison is not controlled.
THC and CBD together dominated the conversation, mentioned far more often than CBG, CBN or CBC combined, the analysis said.
Anxiety was the most-discussed condition in the dataset and produced the most mixed results, according to the analysis: CBD-heavy anxiety posts ran 88.1 percent positive firsthand, while THC-heavy posts dropped to 58.1 percent, with a cluster of reports describing heightened panic or paranoia instead of relief. Hasib wrote that this may say more about cannabinoid choice, and possibly delivery method, than about whether cannabis works for anxiety, and raised questions about how cannabinoid dose and individual differences in the endocannabinoid system may influence responses to THC.
Terpenes were mentioned far less often than cannabinoids in the posts, and the analysis described those patterns as more suggestive than conclusive. Patients frequently associated myrcene with muscle relaxation and pain relief, caryophyllene with reduced inflammation and limonene with improved mood, and posts naming those terpenes skewed positive. Pinene stood out in the other direction: in 29 posts specifically discussing anxiety, pinene skewed noticeably negative compared with other terpenes, with firsthand reports highlighting heightened anxiety rather than relief, the analysis said.
The analysis used keyword and pattern-based sentiment classification across publicly available Reddit posts. Hasib wrote that minor classification noise or misassigned edge cases can occur in large-scale natural language processing workflows, that the overarching patterns across the 17,789 posts remained consistent, and that the findings are hypothesis-generating and could help identify questions for future clinical research. She said the full dataset, filtered by symptom and cannabinoid, is available on an interactive dashboard.
Hasib is described in the piece as a data scientist and public health researcher with interests in behavioral health, clinical research and digital health. The article appeared with a note that the outlet, Marijuana Moment, is supported by readers and a request for monthly Patreon pledges.
- The source does not state the date the analysis was conducted or published, the date range of the Reddit posts it reviewed, or the outlet and date of publication.
- The source does not state how posts were selected from the seven subreddits or how many posts were analyzed for most cannabinoid-and-symptom pairings beyond the figures given.
- The source does not state how individual posts were classified as positive or as reporting a clear outcome beyond the description of keyword and pattern-based sentiment classification.
- The source does not state whether the analysis distinguished posts by the country of the person posting, including posts from the r/MedicalCannabis_NI community.
- The source does not state whether the findings were reviewed, replicated, or checked by anyone other than the author.
- The source does not provide the location of the interactive dashboard it references.
Read the original at Marijuana Moment