Xadago Tablet, Film Coated
Product Images NDC 27505-110
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 7 technical images submitted to the FDA as part of the official labeling for Xadago (NDC 27505-110). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Mdd Us Operations Llc, A Subsidiary Of Supernus Pharmaceuticals, Inc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
Figure 1 (Xadago 02)
Figure 2 (Xadago 03)
The text describes a table or a graph showing "Cumulative Percentage" and "Change from Baseline to Week 24 in total Daily "ON" Time (hours)." It also shows the labels "Placebo" and "XADAGO 50 mg/day —XADAGO 100 mg/day." The rest of the text appears to be placeholders for numeric values or labels. No further information can be gleaned from this text.*
Figure 3 (Xadago 04)
Figure 4 (Xadago 05)
Principal Display Panel (50 mg Tablet Bottle Carton)
This is a product description for Safinamide tablets with a registered trademark Xadago®. Each bottle contains 50mg of Safinamide. It is manufactured by Zambon SpA and distributed by US WorldMeds, LLC. The tablets should be stored at 25°C with excursions permitted between 15°C to 30°C. More information and full prescribing details are available in the package insert. The product comes with a LOT number and a serial number.*
Principal Display Panel (100 mg Tablet Bottle Carton)
This text is a description of a medication called Xadago, which contains 100mg of Safinamide to treat Parkinson's disease. The medication should be stored at a controlled room temperature and comes in a container with 30 tablets. The text also includes the contact information of the distributor, US WorldMeds, LLC, and the manufacturer, Zambon SpA.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.