Recently patented agents with possible antipsychotic indication
Bibliographic record
Abstract
Background: The use of antipsychotic medication for disparate psychiatric and medical disorders has increased rapidly during the past decade. Newer second-generation antipsychotic agents have largely replaced older agents in many regions; nevertheless, most treated individuals remain insufficiently responsive and/or intolerant inviting the need for newer agents with novel mechanisms. Objective/method: Herein, we review the US and Canadian databases regarding recently patented agents (i.e., 2003 – 2008) with putative antipsychotic properties. Additionally, a PubMed review was conducted utilizing the key search term antipsychotic, cross-referenced with: novel, mechanism, psychoses, mania and indication. A manual review of the bibliographies in each of the retrieved articles was also conducted. Conclusion: Hitherto, antagonism of the canonical dopamine D2 receptor has been the prevailing hypothesis regarding the mechanism of action of all approved antipsychotic agents. During the past 5 years, several newer patented agents have been introduced that exhibit unique pharmacodynamic profiles, for example, D3/D4 receptor antagonism, 5-HT2C receptor agonism/partial agonism, selective serotonin re-uptake/α2-adrenoceptor antagonism and mGlu2/3 receptor agonism. Efforts to refine novel treatments have provided the impetus for testing and patenting agents with novel pharmacodynamic mechanisms.
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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) | 0.000 | 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) | 0.000 | 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".