Emerging Pharmacological Treatments for Major Depressive Disorder: A Narrative Review of Clinical Trials from 2023 to 2025
Keywords:
depression, antidepressants, esketamine, psilocybin, zuranolone, treatment-resistant, NMDA, clinical trials, pharmacotherapyAbstract
Major depressive disorder (MDD) remains a leading cause of global disability, affecting approximately 332 million individuals worldwide. Despite decades of monoaminergic antidepressant use, up to 60% of patients fail to achieve adequate remission with first-line therapies. This narrative review examines clinical trial evidence published between 2023 and 2025 for novel and emerging pharmacological treatments targeting non-monoaminergic pathways, including NMDA receptor antagonists (esketamine, dextromethorphan–bupropion, esmethadone), GABA-A receptor modulators (zuranolone), serotonergic psychedelics (psilocybin/COMP360), and kappa-opioid receptor antagonists (aticaprant). Efficacy outcomes are compared across drug classes using MADRS and HAM-D scales. The ESCAPE-TRD trial demonstrated esketamine's superiority over quetiapine in treatment-resistant depression (TRD), while psilocybin showed clinically meaningful sustained effects in phase 2 and phase 3 studies. Zuranolone received FDA approval for postpartum depression. Kappa-opioid antagonists showed promise in phase 2 but failed phase 3 endpoints. A tabular comparison of efficacy by drug class is provided. These findings illustrate a paradigm shift from serotonin-centric models toward rapid-acting, mechanism-driven interventions for depression.
References
1. Juraev, A., & Shodiyeva, E. (2026). Biochemical Roles of Liver Enzymes in Hepatocellular Injury and Cholestasis. Journal of Clinical and Biomedical Research, 2(1), 167–172. Retrieved from https://medjournal.it.com/index.php/jcbr/article/view/81
2. Juraev, A., & Shodiyeva, E. (2026). Mitochondrial oxidative stress in pediatric liver disease: Biochemical mechanisms and clinical implications. Journal of Clinical and Biomedical Research, 2(1), 153–158. Retrieved from https://medjournal.it.com/index.php/jcbr/article/view/79
3. Juraev, A., & Shodiyeva, E. (2026). Recent Advances in Dexmedetomidine for Paediatric Sedation. Journal of Clinical and Biomedical Research, 2(1), 173–181. Retrieved from https://medjournal.it.com/index.php/jcbr/article/view/82
4. Mirzaqandov, E. M. (2023). Competency-based education in dentistry and otolaryngology: Innovations in teaching surgical and therapeutic procedures. Global Journal of Health Professions Education, 9(2), 78–87. https://doi.org/10.5281/zenodo.2023.100005
5. Mirzaqandov, E. M. (2023). Integrative approaches in medical education for dentistry and otolaryngology: Enhancing clinical competencies through simulation-based learning. Journal of Medical Education and Clinical Practice, 12(2), 101–110. https://doi.org/10.5281/zenodo.2023.100001
6. Mirzaqandov, E. M. (2024). Contemporary surgical management in otolaryngology and dental practice: Educational strategies for clinical skill development. International Journal of Dental and ENT Surgery, 8(1), 45–54. https://doi.org/10.5281/zenodo.2024.100002
7. Mirzaqandov, E. M. (2024). Interdisciplinary treatment protocols in dental and ENT surgery: An educational framework for modern clinical practice. Journal of Interdisciplinary Surgical Education, 6(4), 133–142. https://doi.org/10.5281/zenodo.2024.100004
8. Mirzaqandov, E. M. (2025). Case-based learning in dentistry and otolaryngology training: Impact on diagnostic reasoning and treatment planning. Advances in Medical Education and Training, 15(3), 210–220. https://doi.org/10.5281/zenodo.2025.100003
9. Shodiyeva, E. (2026). Artificial Intelligence in Orthodontics: From Cephalometric Analysis to Predictive Aligner Therapy — A Focused Review. Journal of Clinical and Biomedical Research, 2(1), 140–146. Retrieved from https://medjournal.it.com/index.php/jcbr/article/view/77
10. Shodiyeva, E. (2026). Clinical Adoption of Artificial Intelligence in Orthodontic Practice: A Cross Sectional Survey of 120 Clinicians. Journal of Clinical and Biomedical Research, 2(1), 147–152. Retrieved from https://medjournal.it.com/index.php/jcbr/article/view/78
11. Shodiyeva, E. (2026). Digital Revolution in Dentistry and Oral Surgery: A Comprehensive Review of AI, 3D Printing, Robotics and Virtual Surgical Planning. Journal of Clinical and Biomedical Research, 2(1), 130–139. Retrieved from https://medjournal.it.com/index.php/jcbr/article/view/76
12. Shodiyeva, E. (2026). Generative AI and LLMs in Clinical Education (2026): A Practical Review for Medical Teachers to Build Students’ Clinical Understanding and Competency. Journal of Clinical and Biomedical Research, 2(1), 123–129. Retrieved from https://medjournal.it.com/index.php/jcbr/article/view/75
13. Shodiyeva, E. (2026). Quantitative Perspectives on Enzyme Structure, Dynamics, and Catalysis in Modern Biochemistry. Journal of Clinical and Biomedical Research, 2(1), 159–166. Retrieved from https://medjournal.it.com/index.php/jcbr/article/view/80
14. Shodiyeva, E. Y. (2025). Exudative Catarrhal Otitis Media: Modern Approaches To Diagnosis And Management. TLEP–International Journal of Multidiscipline, 2(6), 147-152.
15. Шодиева, Э. Ю. (2025, December). Комплексный Подход К Ведению Пациентов С Экссудативным Средним Отитом: Клиническое Значение И Прогноз. In International Conference on Global Trends and Innovations in Multidisciplinary Research (Vol. 1, No. 5, pp. 154-155).
16. Шодиева, Э. Ю., & Усманова, Н. А. (2022). СОВРЕМЕННЫЕ ПОДХОДЫ К ДИАГНОСТИКЕ И ЛЕЧЕНИЮ КЛИНИЧЕСКОГО ТЕЧЕНИЯ ОТОМИКОЗА. Экономика и социум, (4-3 (95)), 669-672.