Product Images Sildenafil

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 7 images provide visual information about the product associated with Sildenafil NDC 62135-372 by Chartwell Rx, Llc, 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.

image description - sildenafil tablet 20mg bottle label

image description - sildenafil tablet 20mg bottle label

This text contains information about a medication called Sildenafil in tablet form. It includes details such as the NDC number and the quantity of tablets in the bottle. The pharmacist is instructed to dispense patient information separately to each patient.*

image description - sildenafil tablets figure 1

image description - sildenafil tablets figure 1

image description - sildenafil tablets figure 2

image description - sildenafil tablets figure 2

This text provides information on drug interactions and recommendations for dosage adjustments based on the fold change and 90% confidence interval (CI). It includes a list of drugs such as Acenocoumarol, Aspirin, Atorvastatin, Bosentan, Doxazosin, Ethinylestradiol, Levonorgestrel, Phenprocoumon, Ritonavir, Saquinavir, and Tolbutamide. Dosage adjustments are classified as no dose adjustment needed, coadministration, or not recommended. The text also mentions the lack of benefit on exercise capacity when sildenafil is added to bosentan therapy.*

image description - sildenafil tablets figure 3

image description - sildenafil tablets figure 3

image description - sildenafil tablets figure 4

image description - sildenafil tablets figure 4

image description - sildenafil tablets figure 5

image description - sildenafil tablets figure 5

image description - sildenafil tablets structure

image description - sildenafil tablets structure

* 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.