Tadalafil
Product Images NDC 63629-7943
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 8 technical images submitted to the FDA as part of the official labeling for Tadalafil (NDC 63629-7943). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Bryant Ranch Prepack, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
Product Images & Figures Index
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This text appears to be a table showing the maximum decrease in systolic and diastolic blood pressure when different drugs are coadministered with Tadalafil 20mg. The table also includes mean differences between Tadalafil and Placebo for each drug combination. However, it is not clear what condition or study the table refers to.*
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This is a table that lists the effects of different drugs when co-administered with Tadalafil (dosage not provided). The effects are measured in AUC (Area Under the Curve) and Cmax. Ritonavir, ketoconazole, bosentan, and antacids showed the most significant changes in AUC and Cmax when co-administered with Tadalafil. Dose adjustment is recommended for some of these drugs, and some should be avoided altogether. The table also shows the fold change and 90% CI (Confidence Interval) for each drug.*
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Label Image (Lbl636297943)
The text shows information about a medication called Tadalafil 20mg in the form of brown capsules manufactured by Cipla. It includes details on storage instructions and safety precautions. Additionally, there is data on a package that contains 30 tablets with a specific NDC number, but the expiration date is not specified. The top part of the text appears to be some sort of label with a reference to a bank, but it is unclear how it correlates to the medication.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.