Carvedilol Tablet, Film Coated
Product Images NDC 68084-854

Product Visual Gallery

This gallery contains 8 technical images submitted to the FDA as part of the official labeling for Carvedilol (NDC 68084-854). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

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

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6.25 mg Carvedilol Tablet Blister

This document appears to be a list of different types of tablets, each containing either 625mg or 6.25mg of Carvedilol, labeled as Teber or Taber USP, with different sets of numbers, potentially used for tracking or inventory purposes. The expiry date is not mentioned, but there is a lot number provided.*

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6.25 mg Carvedilol Tablets Carton

This is a description of a drug called Carvedilol. It comes in tablet form with 100 tablets in a container. Each tablet contains Ganediol USP 625mg. The drug is prescribed by a doctor (Rx only), and the package has information on how to use it. It should be stored at a temperature between 20°C to 25°C and should be protected from moisture. The drug comes from NBC # BE001-154 BluePont Laboratories, and it is packaged and distributed by American Health Packaging located in Columbus, Ohio.*

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Zyd00930

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Structured Formula For Carvedilol (Image 01)

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Structured Formula For Carvedilol (Image 02)

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Structured Formula For Carvedilol (Image 03)

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Figure 1 (Image 04)

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Figure 2 (Image 05)

This appears to be a table or a chart displaying factors such as gender, age, race, medical conditions and treatment options, along with corresponding hazard ratio values. It is likely being used in a medical or scientific study to analyze the impact of these variables on a particular health outcome. No additional information can be provided without further context.*

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