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 68788-7974 by Preferred 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.
figure1 - sildenafil figure 1
sildenafil_Fig2 - sildenafil figure 2
figure3 - sildenafil figure 3
This appears to be a list of interacting drugs and their effects on INR AUC, INR Cmax, and BT. The drugs listed include Acenocoumarol, Aspirin, Aorvastatin, Bosentan, Doxazosint, Doxazssing, Ethinyloestradiol, Levonorgestrel, Phenprocoumon, Ritonavir®, Saquinavir*, and Tolbutamide. The table also includes fold change and 80% CI data and recommendations for each drug, such as no dose adjustment needed or not recommended for co-administration.*
figure4 - sildenafil figure 4
figure5 - sildenafil figure 5
This appears to be a medical report regarding the efficacy of Sildenafil in the treatment of pulmonary arterial hypertension (PAH) patients. It shows a table with data on baseline walk distance, PAH etiology, functional capacity, and demographics (gender, age, etc.) of PAH patients. The dosage of Sildenafil administered is also mentioned as 20 mg TID.*
figure6 - sildenafil figure 6
sildenafil-figure-7 - sildenafil figure 7
structure - sildenafil structure
Sildenafil Tablets 20mg - sildenafil 20mg
Sildenafil Tablets 20mg is a generic version of Revatio. Each tablet contains 20mg of Sildenafil Citrate USP. The manufacturer is Ajanta Pharma USA Inc. The medication should only be taken as directed and should not be transferred to anyone other than the patient for whom it was prescribed, according to Federal law. The lot and batch numbers are provided to ensure quality control. Unfortunately, the rest of the text is not readable.*
* 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.