Glyphosate in food: A narrative review
Bibliographic record
Abstract
Glyphosate, a widely used broad-spectrum herbicide, plays a crucial role in global crop production due to its effectiveness and low cost. This paper provides an updated overview of the exposure routes, regulations, occurrence, dietary exposure and risk characterization of glyphosate in food products worldwide on recent years. Glyphosate had been detected in various staple food products, including maize, wheat and soybeans, in regions such as Europe, Canada and USA. The herbicide was associated with cancer, reproductive disorders, and development defects. To address safety concerns, maximum residue limits (MRLs) for glyphosate have been established by several international agencies. Notably, no studies to date have reported exceedance of the acceptable daily intake (ADI), and all calculated hazard quotients (HQ) suggested a very low risk. This review highlights a research gap at the intersection of glyphosate use, climate change, and sustainability. It calls for examination of how evolving environmental conditions and agricultural practices might affect glyphosate application and its implications for food safety and public health. • Glyphosate residues found in global food products, yet most remain below MRL limits. • Studies report no significant exceedance of ADI, posing low risk to human health. • Children show higher susceptibility to glyphosate due to increased intake and exposure. • Mediterranean diet shows low risk despite high glyphosate in vegetables. • Calls for more research on glyphosate's long-term health effects, especially in children.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".