Global Trends in Cannabis and Cannabidiol Research from the Year 1940 to 2019
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Legalization of Cannabis in countries, like Canada, and global demand for non-hallucinating chemical components, such as Cannabidiols (CBD), have stimulated the increased interest from academics, industry, and regulatory agencies. Subsequent research publications in scientific journals in this field are expected to grow rapidly. However, there have been few research reviews that have quantified patterns in research publications concerning cannabis, nor a literature-based perspective on the historical development, current status, and future direction of cannabis research. Here, a bibliometric analysis is performed to address this gap in the scientific literature. A total of 1167 relevant articles (Supplementary file 1) were screened and analyzed using three software tools: HistCite, CiteSpace, and Bibliometric Online Analysis Platform. The performances of relevant countries, institutions, authors, and journals were presented, and the evolutionary trends of different categories were revealed. The historical development of cannabis and CBD research can be clearly divided into three stages, which focus on the chemistry, pharmacology, and molecular biology aspects of Cannabis sativa in general and then a focus on CBD related publications. A timeline was drawn to highlight the major trends in the literature, including scientific discoveries. In the end, several suggestions for future research directions in this field are provided.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it