Product Images Darunavir
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 4 images provide visual information about the product associated with Darunavir NDC 72205-184 by Novadoz Pharmaceuticals Llc, 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.
darunavir-600mg-cntr-label - darunavir 600mg cntr label
Darunavir is a prescription medication available in the form of tablets. Each film-coated tablet contains 600 mg of darunavir. The usual dosage should be followed as mentioned in the package insert for full prescribing information. The tablets should be stored at a temperature between 20° to 25°C (68° to 77°F), with excursions permitted between 15° to 30°C (59° to 86°F) as per USP Controlled Room Temperature guidelines. It is important to keep these tablets out of reach of children. The manufacturer of the medicine is MSN Laboratories Private Limited, located in Telangana, India. It is distributed by Novadoc Pharmaceuticals LLC in Piscataway, New Jersey. For further inquiries or assistance, you can contact Novadoc Pharmaceuticals at 855-NOVADOZ (668-2369). The medication expires in September 2023.*
darunavir-800mg-cntr-label - darunavir 800mg cntr label
Each film-coated tablet contains 800 mg of darunavir. The tablets are meant for prescription use only and should be stored at a temperature of 20°C to 25°C (68°F to 77°F), with excursions permitted between 15°C to 30°C (59°F to 86°F). The product is manufactured by MSN Laboratories Private Limited in Telangana, India, and distributed by Novadoz Pharmaceuticals LLC in Piscataway, NJ. It comes in a pack of 30 tablets. For more information, refer to the package insert for full prescribing information. The contact number for Novadoz Pharmaceuticals is 855-NOVADOZ.*
darunavir-fig-1 - darunavir fig 1
darunavir-structure - darunavir structure
* 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.