Carvedilol Tablet, Film Coated
Product Images NDC 43063-833

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 6 technical images submitted to the FDA as part of the official labeling for Carvedilol (NDC 43063-833). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Pd-rx Pharmaceuticals, Inc., 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

43063833 Label (43063833)

43063833 Label (43063833)
This is a description for a medicine called Carvedilol. It comes in a box of 60 tablets with a dosage of 6.25mg. The Reorder number is 110463. It is manufactured by a company called LGRS Jsdly located in Oklahoma City. The medication's National Drug Code (NDC) is 43063-833-60. The medicine is used to treat several conditions, and the dosage should be determined by your doctor. The medication may cause some side effects. If you experience any, you should contact your doctor or report them to the Food and Drug Administration (FDA). The expiration date of the product is October 2022.*
FDA Label Image

Figure 1. Survival Analysis For Copernicus (intent-to-treat) (Carvedilol Fig1)

FDA Label Image

Figure 2. Effects On Mortality For Subgroups In Copernicus (Carvedilol Fig2)

Figure 2. Effects On Mortality For Subgroups In Copernicus (Carvedilol Fig2)
This text cannot be evaluated without any accompanying information or context. It appears to be a figure caption with information on subgroups and their effects on mortality, but without any data or further explanation.*
FDA Label Image

Figure 3. Survival Analysis For Capricorn (intent-to-treat) (Carvedilol Fig3)

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Figure 4. Effects On Mortality For Subgroups In Capricorn (Carvedilol Fig4)

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Chemical Structure (Carvedilol Str)

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