Product Images Esomeprazole Magnesium

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 7 images provide visual information about the product associated with Esomeprazole Magnesium NDC 70518-3044 by Remedyrepack 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.

Esomeprazole Magnesium 40mg 70518 3044 01

Esomeprazole Magnesium 40mg 70518 3044 01

Esomeprazole Magnesium is a medication that comes in the form of a capsule with a dosage strength of 40mg. The package contains 90 capsules and the NDC number is 70518-3044-01. The source NDC is 43598-0510-90 and the manufacturer is Dr. Reddy's located in Shreveport, LA 71108. The medication should be stored at a temperature between 20-26°C (63-77°F) with excursions permitted to 15-30°C (59-86°F) - see USP. The directions for use can be found in the package insert. The medication was repackaged by RemedyRepack Inc. in Indiana, PA 15701, and it should be kept out of the reach of children.*

Figure1 - Figure1

Figure1 - Figure1

Figure2 - Figure2

Figure2 - Figure2

Figure3 - Figure3

Figure3 - Figure3

Figure4 - Figure4

Figure4 - Figure4

Figure5 - Figure5

Figure5 - Figure5

Remedy_Label - Remedy Label

Remedy_Label - Remedy Label

Esomeprazole Magnesium is a 40mg delayed-release capsule available in a package of 30 capsules. It has an NDC number of 70518-3044-00 and is sourced from NDC number 43598-0510-90, manufactured by Dr. Reddy’s in Shreveport, LA 71108. The lot number and expiration date are not available. The medication should be kept out of reach of children, and the package insert should be followed for directions. It must be stored within 20-26°C (63-77°F), with excursions allowed up to 15-30°C (59-86°F) as per USP guidelines. The medication has been repackaged by RemedyRepack Inc. in Indiana, PA 15701.*

* 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.