Product Images Esomeprazole Magnesium
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 11 images provide visual information about the product associated with Esomeprazole Magnesium NDC 63304-734 by Sun Pharmaceutical Industries, 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.
This text contains varied information that is not coherent. It includes a mix of alphanumeric characters, symbols, and random words/letters. Therefore, it is not possible to generate a useful description out of it.*
This is a description of a medicine named Esomeprazole Magnesium available in the form of delayed-release capsules containing 40 mg of the medication. The National Drug Code (NDC) for this medicine is 63304-735-00 and it is only available with a prescription. The label suggests dispensing the accompanying medication guide to each patient. The given text also includes the quantity of the medication, which is 90 capsules. However, the rest of the text is not understandable or relevant, and there are some characters that seem to be non-English, perhaps from the scanning process.*
This is a medication description for Esomeprazole Magnesium Delayed-Release Capsules, USP with a strength of 40mg. The National Drug Code (NDC) for the medication is 63304-735-30, and it comes with an accompanying medication guide that should be dispensed to each patient. The usual adult dosage is not available.*
SEFESE NDC number 63304-735-10 refers to Esomeprazole Magnesium Delayed-Release Capsules. Each capsule contains 40 mg of the drug. It is prescribed medication and should be dispensed with an accompanying medication guide for each patient. There are 1000 capsules in the package provided by ohm®. The remaining text appears to be unrelated and not legible.*
* 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.