Assessing the Environmental and Health Adverse Effects of Mercury Released From Dental Amalgam: A Literature Review
Bibliographic record
Abstract
This paper reviews the most available data on the possible adverse effects of mercury released from amalgam that comprises 50% pure mercury, 35% silver, 12-13 % tin, 2% copper, and up to 1% zinc, indium, platinum, and palladium. Despite the possible health risks of mercury from amalgam on the nervous, respiratory, renal, and endocrine systems, it is used in some countries; however, Sweden, Denmark, Canada, the United States, and Japan have long banned the use of amalgam. Amalgam restorations are one of the main mercury-releasing sources (1800-2700 tons per year) of contamination. During chewing, grinding, brushing of teeth, breaking down of amalgam, and as the temperature of the oral environment increases, mercury vapor will be released. The mercury vapor enters the atmosphere, wastewater in dental offices, all systemic organs, especially the lower respiratory tract and can affect the renal-urinary system or enters breast milk, fetus, and finally, transmits to infants. The mercury level released from amalgam in blood, urine, hair, and nail of large populations of dentists, dental assistants, and pregnant women is higher than the safe levels. The main neurological and psychological effects of mercury vapor are sleep disorders, amnesia, mental disorders, hair loss, memory disturbances, multiple sclerosis, Parkinson’s disease, kidney diseases, gene toxicity, Alzheimer’s disease, Autism, skin allergies, cancer, infertility, low birth weight, and heart diseases. In order to avoid further amalgam risks to the dentists, dental assistants, pregnant women, and wildlife ecosystem, it is suggested to replace the dental amalgam with composite resins.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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".