Product Images Carvedilol

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 6 images provide visual information about the product associated with Carvedilol NDC 71335-2023 by Bryant Ranch Prepack, 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.

Figure 1. Survival Analysis for COPERNICUS (intent-to-treat) - carvedilol tab usp figure1

Figure 1. Survival Analysis for COPERNICUS (intent-to-treat) - carvedilol tab usp figure1

Figure 2. Effects on Mortality for Subgroups in COPERNICUS - carvedilol tab usp figure2

Figure 2. Effects on Mortality for Subgroups in COPERNICUS - carvedilol tab usp figure2

This text appears to be a table with different categories such as gender, age, medical condition, and medication. It also seems to mention hazard ratio. Without knowing the context or purpose of the table, it is difficult to provide a more detailed description.*

Figure 3. Survival Analysis for CAPRICORN (intent-to-treat) - carvedilol tab usp figure3

Figure 3. Survival Analysis for CAPRICORN (intent-to-treat) - carvedilol tab usp figure3

Figure 4. Effects on Mortality for Subgroups in CAPRICORN - carvedilol tab usp figure4

Figure 4. Effects on Mortality for Subgroups in CAPRICORN - carvedilol tab usp figure4

carvedilol chemical structure - carvedilol tab usp structure

carvedilol chemical structure - carvedilol tab usp structure

Label - lbl713352023

Label - lbl713352023

This appears to be the packaging details of a medication named "Coreg 25mg Tablet". It comes in an oval shape, white to off-white color, and numbers "6" and "59" are imprinted on it. It should be stored at room temperature between 20-25°C (68°-77°F) and must be kept away from children. The manufacturer mentioned in the text is Rubicon Research Private Limited. The rest of the text is unreadable due to errors.*

* 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.