Product Images Fycompa
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 32 images provide visual information about the product associated with Fycompa NDC 69616-274 by Catalyst 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.
Fycompa is an oral suspension medication indicated for certain conditions. It should be stored below 30°C and should not be frozen. The dosage and usage information can be found in the accompanying prescribing information. The bottle should be shaken well before each use and any unused portion should be discarded after 90 days.*
This text provides instructions for taking a medication called Fycompa (perampanel) tablets. The recommended dosage is one tablet taken orally once daily at bedtime. The text also mentions that the sample kit package contains fourteen tablets, each of 2mg strength. Additionally, it includes storage instructions to keep the tablets at a temperature of 25°C (77°F) with excursions allowed between 15°C-30°C (9°F-86°F). The text advises referring to the accompanying prescribing information for more details.*
Fycompar is a medication available in tablet form, specifically perampanel tablets with a strength of 2mg. The package contains a 2-week sample kit with fourteen 2mg tablets. It is important for healthcare professionals to warn that Fycompar should be kept out of reach of children. The package also includes an instruction to open the card and push the tablet through from the inside. Additionally, patients are advised to read the accompanying Medication Guide before taking Fycompar.*
This text appears to be a table presenting the proportion of patients in different treatment groups. The treatment groups mentioned are "Placcbo" and "FYCOMPA". The numbers 50, 30, 20, and 10 seem to represent percentages of patients falling into different categories. However, without additional context or a clear structure, it is challenging to determine the exact meaning of these proportions.*
* 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.