Medicinal Inorganic Chemistry: Metallotherapeutics for Chronic Diseases
Bibliographic record
Abstract
Abstract Metal‐containing therapeutic agents designed for use in chronic disorders, such as gastrointestinal dyspepsia, bipolar disease, diabetes mellitus, osteoporosis, and arthritis, present additional challenges to the medicinal chemist. Beyond the immediate toxicity issues seen with acute disease treatments, chronic use of metallotherapeutic agents may result in metal ion accumulation or in gradually developing intolerance that can require discontinuation of the drug. Metallotherapeutic agents that have passed the rigorous testing required for chronic use include bismuth subsalicylates, for a variety of gastrointestinal disorders; lithium carbonate, for bipolar disease; lanthanum carbonate, for end‐stage renal disease; strontium ranelate, for osteoporosis; and the gold‐based antiarthritic, Auranofin™, although the last has fallen out of favor. Chromium picolinate is an approved nutritional supplement, a designation that allows less stringent testing than for new chronic‐use drugs. Among those compounds not currently approved for clinical use, but showing promise, the copper – indomethacin and zinc – indomethacin complexes, for inflammation resulting from rheumatoid arthritis; vanadium compounds, for glucose‐ and lipid‐lowering in type 2 diabetes mellitus; and selenium compounds, as possible cancer preventatives, are worthy of consideration.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.034 | 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".