Product Images Viagra
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 13 images provide visual information about the product associated with Viagra NDC 21695-157 by Rebel Distributors Corp, 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 appears to be a chart with two rows of information. The first row shows the time post dose in hours and the second row shows two treatments (Sildenafil 100mg and Placebo) separated by a line of '#—e—#'. However, it is difficult to determine the exact meaning of the numbers and symbols without additional context.*
This text pertains to a clinical study that involved the use of the drug VIAGRA to treat patients. The text shows the percentage of patients who reported improvement after being treated. The study included a placebo and varied doses of VIAGRA (25 mg, 50 mg, and 100 mg). There is no additional information about the nature of the study, the patients involved, or the conditions being treated.*
This text provides information about Pfizer Labs, a division of Pfizer Inc, distributed in NY (New York), NY (New York) 10017.*
VIAGRA® is a type of tablet medication containing sildenafil citrate. Further information about the usage or effects of the medication is not available.*
This text informs the reader that the product is distributed by Pfizer Labs, which is a division of Pfizer Inc located in New York City with zip code 10017.*
This is not-available. The output contains fragmented information and does not form a coherent or meaningful description.*
Vingra 100mg is a product with ID RV015830. It comes in tablet form with 30 tablets per container. The container has the code #0000 and the batch number is NOC 210915630 \WPST51 00. 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.