Product Images Sildenafil
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 12 images provide visual information about the product associated with Sildenafil NDC 71335-1649 by Bryant Ranch Prepack, 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.
This is a list of medications that can interact with acenocoumarol, a medication used to prevent blood clots. The table indicates whether there is a need for dose adjustment or co-administration should be avoided. Some of the drugs listed include Aspirin, Atorvastatin, and Ethinyloestradiol. The table also provides information on the impact of drug interactions on INR AUC, INR Cmax, and BT. Additionally, it includes the fold change and 90% CI that was observed when taking the medication with other drugs.*
This appears to be a pharmaceutical table listing various drugs, recommended drug interactions, and dosage adjustments for specific drugs. The table provides recommendations for Atorvastatin, Azithromycin, Bosentan, Cimetidine, Erythromycin, Maalox, Oral Contraceptives, Ritonavir, and Saquinavir. It also includes a chart with changes relative to Sildenafil alone and 95% CI recommendations.*
The plot shows the mean change from baseline (measured in meters) and the Standard Error for three treatments: B-a-a Eildenafil 1mg TID, Sildenafil 5mg TID, and Eildenalil 20mg TID. The data is collected for a period of 12 weeks, and the plot represents the change for each treatment at each visit.*
This appears to be a pharmaceutical label for sildenafil citrate (Revatio) 20mg tablets made by Hetero Labs Limited. It includes instructions to keep drugs out of reach of children and to store the tablets at room temperature (20°-25°C or 68°-77°F). The label also includes an expiration date (MM/YY) and a National Drug Code (NDC) number.*
* 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.