Product Images Pramipexole
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 9 images provide visual information about the product associated with Pramipexole NDC 31722-908 by Camber Pharmaceuticals, Inc., such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.
This is a medication containing Pramipexole Dihydrochloride with a dosage of 0.125mg/tablet. It is recommended to refer to the package insert for complete prescribing advice. It is advised to keep the medication at 20°-25°C and in a light-resistant and child-resistant container. To each patient, the pharmacist should dispense with the accompanying Patient Information Leaflet. It is a prescription-only medication with an NDC of 31722-906-90. The US Contact Number is available at 866-495-1995. The medication is manufactured by ScieGen Pharmaceuticals, Inc., Hauppauge, NY 11788, for Camber Pharmaceuticals, Inc., Piscataway, NJ 08854, and has a shelf life of LOT: Not available; EXP: Not available.*
This is a label for Pramipexole Dihydrochloride tablets. The tablets contain 0.75mg of the active ingredient. They should be stored at room temperature and protected from light. The label provides instructions for dispensing the medication, including the accompanying patient information. The manufacturer's contact number is also listed.*
Pramipexole Dihydrochloride tablets are a medication with a dosage strength of 2mg. The tablets are packaged with 90 tablets per pack. The prescription medication is dispensed in a tight, child proof container to keep it safe. The medication is manufactured by Camber Pharmaceuticals and SciGen Pharmaceuticals and is used to treat Parkinson's disease. The National Drug Code (NDC) for this medication is 3172291190. Therefore, this text provides information about the medication Pramipexole Dihydrochloride and its packaging.*
* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.