Product Images Mesalamine
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Product Label Images
The following 3 images provide visual information about the product associated with Mesalamine NDC 70518-3239 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.
MM2 - Mesalamine 400mg 70518 3239 01
Mesalamine Delayed-Release capsules are available in 400mg strength and should be swallowed whole without cutting, breaking, crushing, or chewing. The drug is only available with a prescription and is repackaged by RemedyRepack. Greenstone LLC manufactures the drug. The manufacturer recommends storing the medicine at a temperature of 20-26°C (63-77°F) with excursions permitted to 15-30°C (59-86°F) according to USP. The package insert should be consulted for further instructions, and the medication should be kept out of the reach of children.*
Remedy_Label - Remedy Label
Mesalamine is a delayed-release medication provided in capsules to be swallowed whole. The capsules should not be cut, broken, crushed or chewed. The medication has a strength of 400 mg and is supplied in a package of 30 capsules. The medication is manufactured by Greenstone LLC, Peapack, NJ, and has a NDC number of 70518-3239-00. The package should be kept out of the reach of children and the directions for use can be found in the package insert. The medication should be stored at 20-26°C (63-77°F) with excursions permitted to 15-30°C (59-86°F) [See USP]. The product has been repackaged by RemedyRepack Inc., Indiana, PA.*
The structural formula for MESALAMINE delayed-release capsule for oral administration contains four 100 mg tablets of mesalamine, an aminosalicylate. MESALAMINE delayed-release capsules contain acryli - mesalamine delayed release capsules 01
This text is describing the molecular weight and formula of a compound, but the exact name and purpose of the compound is not available.*
* 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.