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:

Ethopropazine and benztropine in neuroleptic-induced parkinsonism. In a 12-week controlled study ethopropazine was compared to benztropine in the treatment of parkinsonism induced by fluphenazine enanthate in 60 schizophrenic outpatients. Ethopropazine and benztropine were found to be equally effective in controlling parkinsonian symptoms and were as efficacious as procyclidine, their previous antiparkinsonian drug. However, benztropine treated patients had a significant increase in tardive dyskinesia compared to their condition during procyclindine treatment, and significantly more anxiety and depression than ethopropazine treated patients. This suggests that benztropine is not the anticholinergic drug of choice in the treatment of neuroleptic-induced parkinsonian symptoms, because of its more toxic central and peripheral atropinic effect.
{"Chemical": ["benztropine", "fluphenazine enanthate", "ethopropazine", "procyclindine", "procyclidine", "Ethopropazine"], "Disease": ["tardive dyskinesia", "anxiety", "parkinsonism", "schizophrenic", "parkinsonian symptoms", "depression"]}