Product Images Carvedilol
View Photos of Packaging, Labels & Appearance
- Carvedilol Tablets, USP 3.125 mg Bottle Label - image 01
- Carvedilol Tablets, USP 6.25 mg Bottle Label - image 02
- Carvedilol Tablets, USP 12.5 mg Bottle Label - image 03
- Carvedilol Tablets, USP 25 mg Bottle Label - image 04
- Figure 1. Survival Analysis for COPERNICUS (Intent-to-Treat) - image 05
- Figure 2. Effects on Mortality for Subgroups in COPERNICUS - image 06
- Figure 3. Survival Analysis for CAPRICORN (Intent-to-Treat) - image 07
- Figure 4. Effects on Mortality for Subgroups in CAPRICORN - image 08
- Carvedilol Structural Formula - image 09
Product Label Images
The following 9 images provide visual information about the product associated with Carvedilol NDC 0378-3631 by Mylan Pharmaceuticals 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.
Carvedilol Tablets, USP 3.125 mg Bottle Label - image 01
Carvedilol Tablets, USP 6.25 mg Bottle Label - image 02
Carvedilol Tablets, USP 12.5 mg Bottle Label - image 03
Carvedilol Tablets, USP 25 mg Bottle Label - image 04
This seems to be a product label or prescription information. It includes the name of the product, "G s Tablets, USP", the manufacturer "Mylan", the quantity "100 Tablets", and the RX-only label. It also mentions a lot number, which is printed along with the expiration date. Additionally, there are some technical details related to variable dot nine coding and a GTIN barcode, which may be relevant to the distribution of the product.*
Figure 1. Survival Analysis for COPERNICUS (Intent-to-Treat) - image 05
Figure 2. Effects on Mortality for Subgroups in COPERNICUS - image 06
Figure 3. Survival Analysis for CAPRICORN (Intent-to-Treat) - image 07
Figure 4. Effects on Mortality for Subgroups in CAPRICORN - image 08
Carvedilol Structural Formula - image 09
* 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.
