Product Images Allopurinol

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Allopurinol NDC 16714-041 by Northstar Rxllc, 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.

Allopurinol Figure1 - allopurinol fig1

Allopurinol Figure1 - allopurinol fig1

Principal Display Panel - Allopurinol Tablets USP, 100 mg - 30's tab pack - allopurinol fig2

Principal Display Panel - Allopurinol Tablets USP, 100 mg - 30's tab pack - allopurinol fig2

Each tablet contains 100 mg of allopurinol, USP. The indications, dosage, precautions, etc. for this medicine can be found in the accompanying package insert. It should be dispensed in a tight, light-resistant container, as defined in the USP, and stored at room temperature between 20° to 25°C (68° to 77°F). The medicine is manufactured in India by Piramal Pharma Limited, and licensed by Mg Lic. No.: 2510/92 20614960 EM 14782/ Rev. 10/2020. It is distributed by Northstar Rx LLC, located in Memphis, TN, and the package contains 30 tablets.*

p - allopurinol fig3

p - allopurinol fig3

Each tablet contains 300 mg of Allopurinol, a medication used to treat gout and kidney stones. The usual dosage is one tablet daily. For more information on indications, dosage, and precautions, refer to the accompanying package insert. Store in a container that is light-resistant and tightly sealed at a temperature of 20° to 25°C (68° to 77°F). This product, Allopurinol tablets, is manufactured in India by Piramal Pharma Limited and distributed in the US by Northstar Rx LLC. The label also includes details about the National Drug Code, lot number, and expiration date.*

Allopurinol-structure - allopurinol str

Allopurinol-structure - allopurinol str

* 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.