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:

Deaths from local anesthetic-induced convulsions in mice. Median convulsant (CD50) and median lethal (LD50) doses of three representative local anesthetics were determined in adult mice to evaluate the threat to life of local anesthetic-induced convulsions. The CD50 and LD50, respectively, were 57.7 and 58.7 mg/kg for bupivacaine, 111.0 and 133.1 mg/kg for lidocaine, and 243.4 and 266.5 mg/kg for chloroprocaine. When given intraperitoneally, bupivacaine thus was only about twice as toxic as lidocaine and four times as toxic as chloroprocaine. Convulsions always preceded death, except after precipitous cardiopulmonary arrest from extreme doses. A CD50 dose of local anesthetic (causing convulsions in 50% of mice) was fatal in 90% of bupivacaine-induced seizures, in 57% of the chloroprocaine group, and in 6% of the lidocaine group. The narrow gap between convulsant and lethal doses of local anesthetics indicates that untreated convulsions present much more of a threat to life than heretofore appreciated.
{"Chemical": ["bupivacaine", "lidocaine", "chloroprocaine"], "Disease": ["convulsions", "seizures", "Convulsions", "cardiopulmonary arrest"]}