Product Images Irbesartan
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 6 images provide visual information about the product associated with Irbesartan NDC 57297-410 by Lupin Limited, 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 description for Irbesartan, which comes in tablets containing 75mg of the active ingredient. The NDC number and manufacturer information are listed. The recommended storage temperature is also provided. However, as there is incomplete information and text recognition errors, the description may not be entirely accurate.*
This is a medication with the National Drug Code (NDC) 68180-411-06 containing 150mg of irbesartan, manufactured by Lupin Pharmaceuticals, Inc. It is recommended to refer to the package insert for prescribing information. The tablets should be stored at temperatures between 15°C to 30°C (59°F to 86°F). The manufacturer is located in Baltimore, Maryland, United States and Pithampur, India.*
This is a medication called Irbesartan, which comes in tablet form. Each tablet contains 300mg of irbesartan. It is a prescription medication and the usual dosage can be found in the package insert. The tablets are manufactured by Lupin Limited and distributed by Lupin Pharmaceuticals in the US. The medication should be stored at a temperature between 15°C to 30°C. The National Drug Code (NDC) for this medication is 68180-412-06.*
Description: The text is a figure illustrating the Kaplan-Meier Estimates of the primary endpoint (Doubling of Serum Creatinine, End-Stage Renal Disease or All-Cause Mortality) in the IDNT study with different treatments such as Amlodipine, Placebo, and Irbesartan. The figure shows the Cumulative Event Rate over time in months of follow-up.*
* 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.