Product Images Carvedilol Phosphate

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 6 images provide visual information about the product associated with Carvedilol Phosphate NDC 57664-663 by Sun Pharmaceutical Industries, 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.

Structure - carvedilol 1

Structure - carvedilol 1

Figure 5 - carvedilol 2

Figure 5 - carvedilol 2

Change in SBP and DBP (measured in mmHg) at different time points after morning dosage. The data seems to have been smoothed using a locally weighted regression smoothing methodology.*

Principal Display Panel - 10mg - carvedilol 3

Principal Display Panel - 10mg - carvedilol 3

This is a description for a prescription medication called Carvedilol Phosphate, which is presented in capsules form. The medication is designed for once-a-day dosing with 30 capsules in a pack. The capsules are extended-release and intended for prescription use only. The rest of the text seems to be jumbled and does not provide any useful information.*

Principal Display Panel - 20mg - carvedilol 4

Principal Display Panel - 20mg - carvedilol 4

This is the label from a prescription drug, Carvedilol Phosphate, which is available in the form of extended-release capsules to be taken once a day. The package contains 30 capsules and can only be dispensed with a valid prescription.*

Principal Display Panel - 40mg - carvedilol 5

Principal Display Panel - 40mg - carvedilol 5

This is a description for Carvedilol Phosphate Capsules. The drug is taken once a day and comes in a bottle containing 30 extended-release capsules. The National Drug Code (NDC) for the drug is 57664-665. It is a prescription medication labeled as Rx only.*

Principal Display Panel - 80mg - carvedilol 6

Principal Display Panel - 80mg - carvedilol 6

* 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.