Hemp ( <i>Cannabis Sativa</i> L.) Extract: Anti-Microbial Properties, Methods of Extraction, and Potential Oral Delivery
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
The evolving public and regulatory outlook concerning the health and nutritional properties of industrial hemp (Cannabis sativa L.) products has prompted recent research to focus on developing new methods for isolation and oral delivery of bioactive constituents present in hemp extracts. While cannabinoid extracts derived from hemp are renowned for the psychoactive and medicinal properties of the cannabinoids; however, other functional properties attributed to the nutritional value of the hemp seed oil, and, the anti-microbial properties of hemp extract are often overlooked. Isolation of the bioactive compounds from hemp and conversion into products that can be useful for a variety of applications, ranging from nutritional supplements to antimicrobials, as well as new developments in the delivery of medicinal bioactives, are areas of considerable interest for both the cannabis and hemp industries. This review examines these topics and moreover, critiques methods used for the extraction of cannabinoids and hempseed oil bioactives. Finally, novel advances in technologies designed to use nano-carriers for oral delivery of cannabinoids are introduced with the goal to highlight the latest developments in hemp extract processing and delivery.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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