Use of lithium in psychiatric, viral and neurological disorders - a review
Bibliographic record
Abstract
Introduction: Lithium is one of the longest used drugs in psychiatry and is currently a mainstay in the long-term prophylaxis of bipolar disorder, preventing recurrent manic and depressive episodes. It also remains an important drug in the treatment of acute episodes of mania and depression. Out of the normothymic drugs, lithium has the greatest effect in preventing suicidal behavior. It also exhibits antiviral activity and in recent years evidence has also accumulated of the drug's neuroprotective properties. Aim of the study: The aim was to collect and analyze publications on the use of lithium in affective disorders, dementia and viral diseases, as well as its effect on reducing suicidal tendencies. Materials and Methods: The literature available in the PubMed database was reviewed, using the key words: "lithium"; "bipolar disorder"; "mania", "depression"; "suicidal risk", "side effects". Results: Chronic use of lithium in patients with bipolar disorder has an effect on preventing recurrence of manic and depressive episodes and can successfully last for 40 years or longer. Studies support the theory that long-term lithium pharmacotherapy has a significant impact on preventing suicidal tendencies among patients with affective disorders. In recent years, the antiviral and neuroprotective properties of the drug have also become known. Despite the rather high risk of overdose, as well as the occurrence of numerous side effects, lithium is still very often used in the treatment of affective disorders due to its high efficacy. Conclusions: Lithium has been one of the mainstays of psychopharmacology for several decades and is a precursor to mood-stabilizing drugs. In recent years evidence has also been collected for its potential use in non-psychiatric conditions. Conducting further research on lithium will certainly allow for wider use of the drug and a more thorough understanding of its mechanism of action.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".