A Review study of Ethnopharmacology, Phytochemistry, and Anti-inflammatory, antioxidant, and anti-microbial effect of Artemisia absinthium
Bibliographic record
Abstract
Introduction: Artemisia absinthium or wormwood is a species of Artemisia, native to temperate regions of Eurasia and Northern Africa and widely naturalized in Canada and the northern United States. It is grown as an ornamental plant and is used as an ingredient in the spirit absinthe as well as some other alcoholic drinks. The aim of this study is to review Ethnopharmacology, Phytochemistry, and Anti-inflammatory, antioxidant and anti-microbial effect of Artemisia absinthium. Methods: This review article was carried out by searching studies in PubMed, Medline, Web of Science, and IranMedex databases up to 2016.Totally, of 83 found articles, 56 articles were included. The search terms were “Artemisia absinthium”, “wormwood”, “therapeutic”, “pharmacological”, Result: Various studies have shown that Artemisia absinthium Possess Mostly Anti-inflammatory, antioxidant and anti-microbial effect. Besides, its Essential oil is an encouraging candidate for compounds activation against Leishmania. The anti-neuroinflammatory and neuroprotective mechanism of Artemisia absinthium L., was shown to be due to caruifolin D, a major anti-inflammatory component, which might be developed as a drug candidate for neuro-inflammation-related diseases. Conclusion: Anti-inflammatory activity of Artemisia absinthium L., was due to caruifolin D, a major constituent, which might be developed as a drug candidate for neuro-inflammation-related diseases. While these findings sound promising and worthwhile for further investigation, the well-defined profile of adverse properties of wormwood demands a more cautious interpretation of these result
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".