Product Images Aminocaproic Acid

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Product Label Images

The following 3 images provide visual information about the product associated with Aminocaproic Acid NDC 70377-102 by Biocon Pharma 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.

chemstructure - chemstructure

chemstructure - chemstructure

The given text seems to be a chemical formula. It represents the compound with the chemical formula H2<|:(CH2)3CH2COOH NH, CH,NO, having a molecular weight of 131.17. No further information is available in the given text.*

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container1000mg30cc - container1000mg30cc

Aminocaproic Acid is a medication that comes in tablets with a strength of 1000mg. The usual dosage can be found on the package outsert. The medication should be kept in a tight container, at a temperature between 20°C and 25°C (68°F and 77°F). It should be kept out of the reach of children. The medication is manufactured by Carnegie Pharmaceuticals LLC and distributed by Biocon Pharma Inc. The tablet is imprinted with LP 232. There is a section for serialization and coding with GTIN, SN, EXP, and LOT information.*

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container500mg30cc - container500mg30cc

Aminocaproic acid tablets are a prescription medication used to treat excessive bleeding. Each tablet contains 500 mg of Aminocaproic Acid, USP. The recommended dosage can be found in the package insert. The medication should be kept out of reach of children and stored at room temperature. The tablets are distributed by Biocon Pharma Inc. in the US. Tselin, NJ is the location of the distributor's office. The manufacturer of the tablets is Carnegie Pharmaceuticals LLC, located in Delran, NJ. The tablets are imprinted with LP 231 secn015201. The rest of the text appears to be a section for serialization and coding with an expiration date and lot number.*

* 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.