Product Images Sildenafil

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 9 images provide visual information about the product associated with Sildenafil NDC 53002-2719 by Rpk 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.

Label Image - lbl530022719

Label Image - lbl530022719

figure-10 - sildenafil fig 10

figure-10 - sildenafil fig 10

figure-11 - sildenafil fig 11

figure-11 - sildenafil fig 11

fig-12 - sildenafil fig 12

fig-12 - sildenafil fig 12

fig-6 - sildenafil fig 6

fig-6 - sildenafil fig 6

fig-8 - sildenafil fig 8

fig-8 - sildenafil fig 8

This is a chart providing information on the recommended dosage adjustments of various drugs in the presence of interacting drugs. The data is presented in terms of fold change and 90% confidence intervals. Some drugs require a dosage adjustment when co-administered with the interacting drug while others do not. The chart also includes information on the change in relative to interacting drug alone and the effect of certain drug combinations on exercise capacity and PK levels.*

figure-9 - sildenafil fig 9

figure-9 - sildenafil fig 9

figure-7 - sildenafil figure 7

figure-7 - sildenafil figure 7

This is a chart that shows the fold change and %0% CI recommendation for interacting drugs. The chart shows that there is no need for dose adjustment for Atorasttn, Astromycn UG, Bosentan, Cimetidine, Evermyel:f, beoanod c, Oral Contraceptives, and Saquinavie. The chart also shows a vertical solid line at x=1, which represents the change relative to Sildenafil alone. The 95% Cl indicates the AUC accumulation ratio from Day 1o Day 7 relative to Sildenafil alone. The chart concludes that there is no benefit on exercise capacity when Sildenafil is added to Bosentan therapy.*

str - sildenafil str

str - sildenafil str

* 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.