Product Images Pramipexole Dihydrochloride

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 9 images provide visual information about the product associated with Pramipexole Dihydrochloride NDC 68462-332 by Glenmark Pharmaceuticals Inc., Usa, 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.

bottle label 0 125 mg

bottle label 0 125 mg

This is a description of a medication called Pramipexole Dihydrochloride which comes in 90 tablets of 0.125mg. The National Drug Code (NDC) for this medication is 68462-330-90, and it is manufactured by Glenmark Pharmaceuticals. There are several lines of unrelated text which seem to be errors.*

bottle label 0 25 mg

bottle label 0 25 mg

bottle label 0 5 mg

bottle label 0 5 mg

bottle label 1 mg

bottle label 1 mg

bttl label1 5mg

bttl label1 5mg

This is a description for Pramipexole Dihydrochloride Tablets, manufactured by Glenmark. The tablets come in a bottle of 90 and they are only sold with a prescription. Unfortunately, the rest of the text seems to be garbled and not readable.*

chemical structure

chemical structure

logo 01

logo 01

logo

logo

pramipexole-75 - pramipexole 75

pramipexole-75 - pramipexole 75

Each tablet of this medication contains 0.75 mg of pramipexele dihydrochloride monohydrate. It is important to read the accompanying prescribing information for dosage. The tablets should be dispensed in a tight, light-resistant container and stored between 20-25°C (68-77°F), with excursions permitted to 15-30°C (9-86°F). They should be protected from light, and kept out of the reach of children. This medication is manufactured by Glenmark Pharmaceuticals Ltd. and dispensed with patient information sheet provided separately. For further information, contact 1 (8887217115) or visit wuniglenmarkpharmacomius.*

* 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.