Silymarin as a feed additive in swine and poultry production: a comprehensive review
Bibliographic record
Abstract
The widespread ban on in-feed antibiotics in many regions has driven the search for natural alternatives to maintain health and production efficiency in swine and poultry. Phytogenic feed additives (PFAs) derived from herbs and plant extracts have emerged as promising candidates owing to their antioxidant, anti-inflammatory, and antimicrobial properties. Among these, silymarin-a flavonolignan complex extracted from milk thistle (Silybum marianum)-has attracted particular attention due to its hepatoprotective and growth-promoting activities. This review summarizes the chemical characteristics and mechanisms of action of silymarin/silybin. Also, evidence from both experimental and field studies shows that silymarin improves growth performance, nutrient digestibility, gut health, and reproductive outcomes. Advances in formulation technologies, such as micellization, have been addressed for improved bioavailability of silymarin. Despite these promising results, further long-term field studies and economic evaluations are needed to fully integrate silymarin into commercial animal production systems.
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How this classification was reachedexpand
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.000 | 0.008 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".