Aminocaproic Acid Tablet
Product Images NDC 80005-129

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Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Aminocaproic Acid (NDC 80005-129). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Carnegie Pharmaceuticals, Llc, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Chemstructure (Chemstructure)

Chemstructure (Chemstructure)
This appears to be a chemical formula representing the molecule H2N(CH2)3CH2COOH, with a molecular weight of 131.17 g/mol.*
FDA Label Image

Container1000mg30cc (Container1000mg30cc)

Container1000mg30cc (Container1000mg30cc)
Aminocaproic Acid Tablets USP is a medication with each tablet containing 1000mg of Aminocaproic Acid. The typical dosage information is available on the package outsert. The medication should be stored in a tightly sealed container as per USP guidelines and kept away from children. It should be stored at a temperature of 20°C to 25°C. Carnegie Pharmaceuticals LLC is the manufacturer of this medication. This is a prescription-only medication and is available in a pack containing 30 tablets. The imprint on the tablet is LP 232 and NDC number is 80005-129-08.*
FDA Label Image

Container500mg30cc (Container500mg30cc)

Container500mg30cc (Container500mg30cc)
Each tablet contains 500mg of Aminocaproic Acid, USP. The packaging contains the prescribing information and dosage. The tablets are recommended to be stored in a tight container between temperatures 20° to 25°C (68° to 77°F) and kept out of reach of children. These tablets are manufactured and distributed by Carnegie Pharmaceuticals LLC in Delran, NJ, USA. This description is for LP231 30 tablets, NDC 80005-128-08.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.