Product Images Carvedilol
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 8 images provide visual information about the product associated with Carvedilol NDC 70786-0144 by Unit Dose Services, 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 fig1
Figure 2. Effects on Mortality for Subgroups in COPERNICUS - carvedilol fig2
Figure 3. Survival Analysis for CAPRICORN (Intent-to-Treat) - carvedilol fig3
Figure 4. Effects on Mortality for Subgroups in CAPRICORN - carvedilol fig4
Chemical Structure - carvedilol str
Label Image - lbl707860142
This is a description of a drug called Carvedilol. The drug is contained in a bottle with 60 tablets, with each tablet containing 3.125mg of Carvedilol USP. The bottle has a lot number of 3000000 and expiration date of 100000. There is an NDC (National Drug Code) number of 70786-0142-2 on the bottle. The rest of the text is not legible or not-available.*
Label Image - lbl707860144
This is a medication description for Celecoxib, a drug used to relieve pain and inflammation. Celecoxib is available in 200mg, 30 hard gelatin capsules per bottle, and is manufactured by DRUG. The medication guide should be dispensed separately for each patient. The lot is 50000, and the warning advises keeping the drug out of reach of children and storing it at controlled room temperature. The package insert should be consulted for dosage information.*
Label Image - lbl707860145
NDC code 70786-0145-2 refers to Carvedilol, a drug that comes in 25mg strength and is available in a bottle of 60 tablets. The drug is prescribed for treating high blood pressure and heart failure. The label also contains prescription details such as dosage, expiration date, lot number, and prescription-only information.*
* 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.