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: ["Brand", "UnapprovedDrug", "Drug", "DrugGroup"].

Please return the output as a JSON object of the format: {"Brand" : ["Aspirin", ...], "DrugGroup": ["Salicyclate", ...], "Drug": ["Phenobarbital", ...], "UnapprovedDrug": ["Heroin", ...]}. 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:

Etonogestrel may interact with the following medications: acetaminophen (Tylenol), antibiotics such as ampicillin and tetracycline, anticonvulsants (Dilantin, Phenobarbital, Tegretol, Trileptal, Topamax, Felbatol), antifungals (Gris-PEG, Nizoral, Sporanox), atorvastatin (Lipitor), clofibrate (Atromid-S), cyclosporine (Neoral, Sandimmune), HIV drugs classified as protease inhibitors (Agenerase, Crixivan, Fortovase, Invirase, Kaletra, Norvir, Viracept), morphine (Astramorph, Kadian, MS Contin), phenylbutazone, prednisolone (Prelone), rifadin (rifampin), St. Johns wort, temazepam, theophylline (Theo-Dur), and vitamin C.
{"Brand": ["Neoral", "Atromid-S", "Prelone", "Invirase", "Felbatol", "Tegretol", "Crixivan", "Kadian", "MS Contin", "Nizoral", "Dilantin", "Kaletra", "Tylenol", "Lipitor", "Sporanox", "Viracept", "Gris-PEG", "Norvir", "Sandimmune", "Theo-Dur", "Astramorph", "rifadin", "Topamax", "Agenerase", "Trileptal", "Fortovase"], "Drug": ["rifampin", "cyclosporine", "prednisolone", "atorvastatin", "Phenobarbital", "ampicillin", "phenylbutazone", "Etonogestrel", "tetracycline", "clofibrate", "morphine", "vitamin C", "acetaminophen", "temazepam", "theophylline"], "DrugGroup": ["antibiotics", "anticonvulsants", "antifungals", "protease inhibitors"], "UnapprovedDrug": []}