Product Images Febuxostat

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Product Label Images

The following 3 images provide visual information about the product associated with Febuxostat NDC 72578-137 by Viona 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.

Structured product formula for febuxostat - 7dc77668 c132 4f96 aab1 ba857b990c6f 01

Structured product formula for febuxostat - 7dc77668 c132 4f96 aab1 ba857b990c6f 01

Febuxostat, 40 mg - 7dc77668 c132 4f96 aab1 ba857b990c6f 02

Febuxostat, 40 mg - 7dc77668 c132 4f96 aab1 ba857b990c6f 02

This is a description of Febuxostat Tablets, which come in a bottle of 30 tablets. Each tablet contains 40mg of febuxostat and the usual dosage can be found in the package insert. The medicine should be stored in a tightly closed container, away from light, at a controlled room temperature of 20°C to 25°C (68°F to 77°F). A medication guide is available online or by calling 1-888-304-5011, and should be provided to each patient. The tablets are distributed by Viona Pharmaceuticals Inc. in Cranford, NJ, and manufactured by Zydus Lifesciences Ltd. in Ahmedabad, India.*

Febuxostat, 80 mg - 7dc77668 c132 4f96 aab1 ba857b990c6f 03

Febuxostat, 80 mg - 7dc77668 c132 4f96 aab1 ba857b990c6f 03

This is a description of a medication called Febuxostat, which comes in tablet form with each tablet containing 80 mg of febuxostat. The package should include a medication guide that the pharmacist should provide to each patient. The packaging is child-resistant and should be stored at 20°C to 25°C. The medication should be dispensed in a tightly closed container and protected from light. A medication guide is available online or by calling a toll-free number. The medication is manufactured in India by Zydus Lifesciences Ltd. and distributed by Viona Pharmaceuticals Inc. in Cranford, NJ.*

* 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.