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:

Renal papillary necrosis due to naproxen. A 31-year-old man with rheumatoid arthritis, who had previously been treated with sulindac, fenoprofen calcium, high dose salicylates and gold salts, developed renal papillary necrosis (RPN) 4 months after institution of naproxen therapy. No other factor predisposing to RPN could be discovered. Sulindac was substituted for naproxen and no further adverse renal effects occurred over the next 12 months. We review previous reports linking RPN to antiinflammatory drug use and discuss possible advantages of sulindac in patients who have experienced renal toxicity from other antiinflammatory agents.
{"Chemical": ["gold", "Sulindac", "naproxen", "fenoprofen calcium", "salicylates", "sulindac"], "Disease": ["RPN", "renal toxicity", "rheumatoid arthritis", "renal papillary necrosis", "Renal papillary necrosis"]}