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:

Photodistributed nifedipine-induced facial telangiectasia. Five months after starting nifedipine (Adalat), two patients developed photodistributed facial telangiectasia, which became more noticeable with time. Neither patient complained of photosensitivity or flushing. Both patients reported a significant cosmetic improvement after discontinuing the drug. One commenced the closely related drug amlodipine 3 years later, with recurrence of telangiectasia. The photodistribution of the telangiectasia suggests a significant drug/light interaction.
{"Chemical": ["amlodipine", "Adalat", "nifedipine"], "Disease": ["flushing", "telangiectasia"]}