You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["Disease", "Chemical"].

Please return the output as a JSON object of the format: {"Chemical" : ["Naloxone", ...], "Disease" : ["Hypotensive", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Effect of Hibiscus rosa sinensis on reserpine-induced neurobehavioral and biochemical alterations in rats. Effect of methanolic extract of Hibiscus rosa sinensis (100-300 mg/kg) was studied on reserpine-induced orofacial dyskinesia and neurochemical alterations. The rats were treated with intraperitoneal reserpine (1 mg/kg, ip) for 3 days every other day. On day 5, vacuous chewing movements and tongue protrusions were counted for 5 min. Reserpine treated rats significantly developed vacuous chewing movements and tongue protrusions however, coadministration of Hibiscus rosa sinensis roots extract (100, 200 and 300 mg/kg, per orally) attenuated the effects. Biochemical analysis of brain revealed that the reserpine treatment significantly increased lipid peroxidation and decreased levels of superoxide dismutase (SOD), catalase (CAT) and glutathione reductase (GSH), an index of oxidative stress process. Coadministration of extract significantly reduced the lipid peroxidation and reversed the decrease in brain SOD, CAT and GSH levels. The results of the present study suggested that Hibiscus rosa sinensis had a protective role against reserpine-induced orofacial dyskinesia and oxidative stress.
{"Chemical": ["glutathione", "reserpine", "Reserpine", "Hibiscus rosa sinensis", "superoxide"], "Disease": ["dyskinesia"]}