Product Images Esomeprazole Magnesium DR

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Product Label Images

The following 8 images provide visual information about the product associated with Esomeprazole Magnesium DR NDC 80425-0331 by Advanced Rx Pharmacy Of Tennessee, 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.

Description - Description

Description - Description

Label 1 - Esomeprazole Magnesium DR 40mg 80425 0331 01

Label 1 - Esomeprazole Magnesium DR 40mg 80425 0331 01

This is a description of a medication called Esomeprazole Magnesium DR 40mg capsule. It comes in a package of 30 capsules, with a NDC source code of 31722-0665-10 and a NOC of 50335-0331-01. The medication should be stored at a temperature range of 20°C to 25°C (64°F to 77°F), and the expiration date for the particular package mentioned is February 29, 2020.*

Label 2 - Esomeprazole Magnesium DR 40mg 80425 0331 02

Label 2 - Esomeprazole Magnesium DR 40mg 80425 0331 02

Label 3 - Esomeprazole Magnesium DR 40mg 80425 0331 03

Label 3 - Esomeprazole Magnesium DR 40mg 80425 0331 03

This is a description of a medication called Esomeprazole Magnesium DR, which is a 40mg capsule. There are 90 capsules in the package and the medication has an expiration date of February 29, 2023. The rest of the text appears to be a batch or serial number.*

fig 2 - fig 2

fig 2 - fig 2

This is a report on a study that used different types of capsules. The capsules contained either 40 mg, 20 mg, or 10 mg of a substance called Esomeprazol Magnesium. There was also a fourth type of capsule that contained no active substance known as the Placebo. The study looked at measuring something called Percent Maintained, but there is not enough information to know what this means or what the study was trying to find out.*

fig 3 - fig 3

fig 3 - fig 3

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* 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.