Review on phytochemical constituents and pharmacological activities of genus Galium
Bibliographic record
Abstract
Medicinal plants are a rich source of phytochemical constituents of diverse structures that are behind their various pharmacological effects. Plants of genus Galium named Bedstraws, family Rubiaceae, are distributed throughout North and South America, Europe, the northern U.S., southern Canada, and tropical Asia. More than 600 species have been used in traditional medicine for treating different ailments. Owing to the valuable published uses of these plant species, and the versatility of their bioactive metabolites such as Galium verum, Galium aparine, Galium mollugo, and G. odoratum, it was deemed interesting to summarize the previous studies done on this genus to discuss the pharmacological profile of all isolated classes of metabolites. The search was adopted using some essential keywords such as Galium, phytochemistry, pharmacology, and biological activity from journals and books in databases such as Scopus, Elton B. Stephens CO, ScienceDirect, Embase, security identifier, and Medline from 1995 to 2024. The results showed that species belonging to Galium have various pharmacological activities including antimicrobial, antioxidant, anti-cancer, immunomodulatory, and anti-inflammatory effects because they are rich in phenolic compounds, iridoid glycosides, anthraquinones, phytosterols, saponins, and essential oils. Accordingly, this review will stimulate the scientific community for further research and boost the discovery of novel bioactive compounds from various species belonging to this genus distributed worldwide.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".