Product Images Mesalamine

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Product Label Images

The following 3 images provide visual information about the product associated with Mesalamine NDC 59762-0118 by Greenstone 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.

The structural formula for mesalamine 1000 mg suppositories for rectal use is mesalamine, also known as mesalazine or 5-aminosalicylic acid (5-ASA). Chemically, mesalamine is 5-amino-2-hydroxybenzoic acid, and is classified as an anti-inflammatory drug. Each mesalamine rectal suppository contains 1000 mg of mesalamine (USP) in a base of Hard Fat, NF. - mesalamine suppositories 01

The structural formula for mesalamine 1000 mg suppositories for rectal use is mesalamine, also known as mesalazine or 5-aminosalicylic acid (5-ASA). Chemically, mesalamine is 5-amino-2-hydroxybenzoic acid, and is classified as an anti-inflammatory drug. Each mesalamine rectal suppository contains 1000 mg of mesalamine (USP) in a base of Hard Fat, NF. - mesalamine suppositories 01

Not available.*

mesalamine suppositories 02

mesalamine suppositories 02

This text provides information about the company Greenstone LLC which distributes a product called Greenstone® brand. The location of the company is Peapack, NJ 07977.*

PRINCIPAL DISPLAY PANELNDC 59762-0118-3GREENSTONE BRANDmesalaminesuppositories, for rectal use1000 mgRx Only - mesalamine suppositories 03

PRINCIPAL DISPLAY PANELNDC 59762-0118-3GREENSTONE BRANDmesalaminesuppositories, for rectal use1000 mgRx Only - mesalamine suppositories 03

The text appears to be a list of medications for rectal use, specifically suppositories containing mesalamine. Mesalamine is a medication used to treat ulcerative colitis and other inflammatory bowel diseases. However, the output is incomplete and contains some non-English characters, so it is difficult to say for certain.*

* 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.