Product Images Esomeprazole Magnesium
View Photos of Packaging, Labels & Appearance
- Esomeprazole Magnesium DR 20mg #30 - Esomeprazole Magnesium DR 20mg 80425 0419 01
- Esomeprazole Magnesium DR 20mg #60 - Esomeprazole Magnesium DR 20mg 80425 0419 02
- Esomeprazole Magnesium DR 20mg #90 - Esomeprazole Magnesium DR 20mg 80425 0419 03
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Product Label Images
The following 8 images provide visual information about the product associated with Esomeprazole Magnesium NDC 80425-0419 by Advanced Rx 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.
Esomeprazole Magnesium DR 20mg #30 - Esomeprazole Magnesium DR 20mg 80425 0419 01
This is a description of an "ESOMEPRAZOLE MAGNESIUM DR 20MG CAPSULE" with a quantity of 30 capsules. The medication is compared to NEXIUM and contains lot number XX00OX with an expiration date of 5/31/2025. The manufacturer is Camber Pharmaceuticals, with serial number 000000253062.*
Esomeprazole Magnesium DR 20mg #60 - Esomeprazole Magnesium DR 20mg 80425 0419 02
Esomeprazole Magnesium DR 20mg #90 - Esomeprazole Magnesium DR 20mg 80425 0419 03
This text provides information about a package of Esomeprazole Magnesium DR 20mg capsules, which is a generic version of Nexium. The package contains 90 capsules and has a lot number and expiration date specified. It was packed by a store at a temperature of 20°C (68°F). The manufacturer listed is Camber Pharmaceut*icals.*
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This is a list of different medications and a placebo in a study, including Esomeprazole Magnesium Delayed-Release Capsules in varying strengths – 40 mg, 20 mg, and 10 mg, as well as a placebo. The number of participants (N) for each treatment group is provided. The study likely evaluates the percentage of participants who maintained a certain condition or response.*
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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.
