Evaluation of Anti-Depressent Activity of Ethanol and Aqueous Extracts of Plumeria Rubra in Mice Model
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Research Paper | Pharmaceutical Science | India | Volume 6 Issue 11, November 2017

Evaluation of Anti-Depressent Activity of Ethanol and Aqueous Extracts of Plumeria Rubra in Mice Model

Dhanapal V, Sampath Kumar

Depression is the most predominant mental illness which is recognized to be symptomatically, biologically and psychologically heterogenous. Apathy, retardation of thinking and activity, loss of energy, feelings of gloominess and suicidal tendency are some of the characteristics of this disorder. Different species of Plumeria have diverse kinds of medicinal property and have a long history of use in the folk medicine. The present study is aimed to evaluate the anti-depressant activity of ethanol and aqueous extracts of plumeria rubra [apocynaceae] leaves using phenobarbitone induced mice model. Ethanol and aqeuous extracts of Plumeria rubra (EEPR AND AEPR) at the dose of 100 mg/kg and 200 mg/kg were evaluated for anti-depressent activity in mice by phenobarbitone induced model. The anti-deprassant activity of the ethanol extract and the aqueous extract (100mg/kg and 200mg/kg) were studied in the phenobarbitione induced mice model. The parameters like onset of sleep and duration of sleep were studied by comparing it with the standard phenobarbitone drug (75mg/kg). The experimental result were expressed as mean S.E.M.Data were analysed by one way ANOVA using Dunnets test. P values of

Keywords: Phenobarbitone, Plumeria rubra, anti-depressant

Edition: Volume 6 Issue 11, November 2017

Pages: 2180 - 2182

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How to Cite this Article?

Dhanapal V, Sampath Kumar, "Evaluation of Anti-Depressent Activity of Ethanol and Aqueous Extracts of Plumeria Rubra in Mice Model", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=24111702, Volume 6 Issue 11, November 2017, 2180 - 2182

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