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Next-Generation Pharmacotherapy for Depressive Disorders: From Novel Compounds to Optimized Use of Available Drugs
Fan Bu1, Lan Qin2, Zhengchi Lou3
1Department of Neurology, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Next-generation pharmacotherapy offers new hope for depression treatment, including rapid-acting agents and personalized approaches. Optimizing existing treatments and integrating novel therapies are key to improving outcomes for diverse patient populations.
Area of Science:
- Pharmacology
- Psychiatry
- Neuroscience
Background:
- Depressive disorders cause significant global disability, with many patients not achieving remission using current antidepressants.
- Treatment-resistant depression (TRD) and bipolar depression present challenges like delayed action, incomplete response, and tolerability issues with conventional monoaminergic strategies.
Purpose of the Study:
- To review next-generation pharmacotherapies for depressive disorders.
- To examine novel drug classes and mechanism-informed optimization of existing treatments.
Main Methods:
- A narrative review based on a targeted literature search of biomedical and psychological databases.
- Inclusion of regulatory documents, prescribing information, pharmacogenomic data, and real-world evidence.
Main Results:
- Next-generation agents include N-methyl-D-aspartate (NMDA) receptor modulators, dextromethorphan-bupropion, multimodal antidepressants, neuroactive steroids, psychedelic-assisted therapy, kappa-opioid receptor antagonists, and bipolar mood stabilizers.
- Optimizing current drugs involves repurposing, augmentation, combination therapy, and measurement-based care.
- Pharmacogenomics and clinical stratification are crucial for precision pharmacotherapy.
Conclusions:
- Advancing depression pharmacotherapy requires novel compounds and improved treatment selection, sequencing, monitoring, and tolerability management.
- A next-generation framework should integrate new drug classes with optimized use of established agents, considering unipolar depression, bipolar depression, and TRD heterogeneity.
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