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:

The role of nitrergic system in lidocaine-induced convulsion in the mouse. The effects of N-nitro-L-arginine-methyl ester (L-NAME) a nitric oxide (NO) synthase inhibitor and L-arginine, a NO precursor, were investigated on lidocaine-induced convulsions. In the first experiment, four groups of mice received physiological saline (0.9%), L-arginine (300 mg/kg, i.p.), L-NAME (100 mg/kg, i.p.) and diazepam (2 mg/kg), respectively. Thirty minutes after these injections, all mice received lidocaine (50 mg/kg, i.p.). In the second experiment, four groups of mice received similar treatment in the first experiment, and 30 min after these injections, all mice received a higher dose of lidocaine (80 mg/kg). L-NAME (100 mg/kg, i.p.) and diazepam (2 mg/kg) significantly decreased the incidence of lidocaine (50 mg/kg)-induced convulsions. In contrast, the L-arginine treatment increased the incidence of lidocaine (80 mg/kg, i.p.)-induced convulsions significantly. These results may suggest that NO is a proconvulsant mediator in lidocaine-induced convulsions.
{"Chemical": ["L-arginine", "lidocaine", "diazepam", "L-NAME", "nitric oxide", "N-nitro-L-arginine-methyl ester", "NO"], "Disease": ["convulsions", "convulsion"]}