Effects of Antipsychotic Drugs and Antimanic Drugs on Bipolar Disorder
Bibliographic record
Abstract
The main incidence of Bipolar is concentrated in teenagers, and the fatality rate is as high as 11% and even exceeds that of depression. There are currently 3 mainstream drug treatments, mood stabilizers, epilepsy drugs, and antipsychotics. Mood stabilizers, also known as antimanic drugs, are now the most mainstream treatment centered around lithium. Numerous studies show that mood stabilizers have a very obvious effect on bipolar. It can not only relieve the manic state but also work on the patients in a depressed state. Antipsychotic drugs, also known as strong tranquilizers, are mainly used in schizophrenia, and bipolar disorder, they are mainly used to stabilize manic states but do not work on depression. However, these methods have their limitations. The development of future treatments should take into account the biological and psychological mechanisms of the disease. This article briefly introduces the therapeutic effects of different drugs on BD from clinical data and mechanisms.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".