Background: Combinations of Chinese patent medicines (CPM) with antidepressants (including selective serotonin reuptake inhibitors (SSRI), selective serotonin-norepinephrine reuptake inhibitors (SNRI), tricyclic antidepressants (TCA), and noradrenergic and specific serotonergic antidepressants (NaSSA)) are frequently utilized for treating depression in adults. However, the efficacy and safety of these combination treatments remain to be established.
Methods: Systematic search was conducted in seven electronic databases, regulatory websites and international registers of trials from 1994 to 2023 that included adult patients with depressive disorders who received CPM combined with antidepressants. The Multiple-Treatment Meta-Analysis (MTMA) was conducted using a random effects model with Stata/MP17 and R4.3.5 software. Primary outcomes were total efficacy rate, Hamilton Depression Scale (HAMD) score, and Treatment Emergency Symptom Scale (TESS) score. Secondary outcomes included brain-derived neurotrophic factor (BDNF) levels.
Results: A total of 146 randomized controlled trials (13,754 participants: 6929 in intervention and 6825 in control groups) were included. For total effective rate, Multiple-Treatment Meta-Analysis results showed that the overall effect of combined intervention was better compared with antidepressants alone, where Jieyuanshenkeli (JYASKL) presented the optimal option for improving total efficacy (OR = 5.39, 95% CI [2.60, 11.18], SUCRA = 84.50%). In reduding the HAMD, Shuganjieyujiaonang (SGJYJN) was most likely to reduce the HAMD score (SMD = -2.20, 95% CI [-3.06, -1.33], SUCRA = 86.10%), Jieyuanshenkeli (JYASKL),Tianewangbuxindan (TWBXD), Shuyukeli (SYKL), Anshenbuxinwan (ASBXW) combination intervention did not appear to be statistically superior to antidepressants alone. In theTreatment Emergency Symptom Scale (TESS), Wulinjiaonang induced the most significant reduction in TESS score (SMD = -1.98, 95% CI [-3.59, -0.36], SUCRA = 90.40%). Tianmengjiaonang (TMJN) + Antidepressants(AD) (SUCRA = 88.30%) displayed the highest scores in increasing the levels of BDNF, although not statistically significant compared to Antidepressants(AD) alone (SMD = 1.23, 95% CI [0.90, 1.55]).
Conclusion: Combinations of CPM and antidepressants showed superior efficacy over antidepressants alone. The optimal combinations were determined as Shuganjieyu Jiaonang (SGJYJN)/SSRIs and Jieyuanshenkeli (JYASKL)/SSRIs. In terms of safety, results showed that combination therapy did not show better TESS efficacy than antidepressants alone.Although some of the combination interventions were not superior than antidepressants alone in reducing HAMD scores,our findings provide a potentially significant alternative option for clinical complementary therapy. However, these results require further validation through larger sample sizes, multicenter randomized controlled trials, and real-world data.
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http://dx.doi.org/10.1016/j.jpsychires.2024.06.017 | DOI Listing |
Eur J Pharmacol
February 2025
Nanhai Hospital of Traditional Chinese Medicine, Jinan University, No.16, Guicheng South Fifth Road, Foshan, Guangdong, 528200, China; Jinan University, Guangzhou, 510632, China; Guangzhou University of Chinese Medicine, Guangzhou, 510006, China. Electronic address:
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Department of Radiological Sciences, College of Applied Medical Sciences, Najran University, Najran 61441, Saudi Arabia.
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Department of Statistics, Florida State University, Tallahassee, FL 32306, USA.
Network meta-analysis is a powerful tool to synthesize evidence from independent studies and compare multiple treatments simultaneously. A critical task of performing a network meta-analysis is to offer ranks of all available treatment options for a specific disease outcome. Frequently, the estimated treatment rankings are accompanied by a large amount of uncertainty, suffer from multiplicity issues, and rarely permit possible ties of treatments with similar performance.
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Department of interventional radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China. Electronic address:
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