Herbal remedies have been used in many cultures for decades to treat illnesses. These medicinal plants have been found to contain various phytochemical compounds that can help to cure mild to severe illnesses. The inadequacies of conventional medicines and their unusual side effects sparked a determined search for alternative natural therapeutic agents. Another reason for this hunt could be the availability and fewer side effects of natural products. T. arjuna is widely used in traditional medicine to alleviate various diseases like relieving pain, ameliorating diabetes, mitigating inflammation, and back-pedaling of depression. In this study, the ethanolic extract of T. arjuna possesses a promising effect on the animal model (p < 0.05/p < 0.01) as an antihyperglycemic, analgesic, anti-inflammatory, and antidepressant agent, but in a dose-dependent manner. The lower dose of T. arjuna was found to be capable of reversing the disturbed physiological state at a significant level (p < 0.05). However, a higher dose of T. arjuna exerts better therapeutic effects for those diseases. This animal study aims to evaluate the anti-diabetic, anti-depressant, and anti-inflammatory properties of T. arjuna compared to conventional marketed drugs. We will perform an in-silico study for active constituents of T. arjuna against their proposed targets and look for the molecular cascade on their claimed pharmacological properties. This study shows that different doses of T. arjuna bark extracts give similar therapeutic responses compared with established marketed drugs in managing hyperglycemia, stress-induced depression, and inflammation. Besides, our docking study reveals that flavonoids and triterpenoid active constituents of T. arjuna play an important role in its usefulness. This study, therefore, scientifically confirmed the traditional use of this medicinal plant in the management of several diseased conditions.
Keywords: Analgesic; Anti-depressant; Anti-diabetic; Herbal remedy; In-silico study; T.arjuna.
© 2021 The Authors.