Product Images Lacosamide
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 5 images provide visual information about the product associated with Lacosamide NDC 0904-7463 by Major Pharmaceuticals, 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.
lacosamide-structure - lacosamide oral solution 1
lacosamide-fig-1 - lacosamide oral solution 2
lacosamide-fig-2 - lacosamide oral solution 3
This text provides data on the Responder Rate for Lacosamide at different dosage levels, namely 200 mg/day and 400 mg/day, as well as a placebo group in studies 2, 3, and 4. The text also includes the Proportion of Patients by Responder Rate and shows the improvement and worsening cases. It mentions the number of patients in each group and displays the percentage of patients for different categories.*
Label Lacosamide Oral Solution - lacosamide oral solution 4
This text provides information about a medication called Lacosamide Oral Solution USP in the strength of 50mg/5mL. Each mL contains 10 mg of lacosamide, USP. The usual dosage instructions can be found in the package insert. The text also mentions that each patient is required to receive the accompanying Medication Guide. It is advised to store the medication at 20° to 25°C (68° to 77°F) with excursions permitted between 15° to 30°C (59° to 86°F). The medication should not be frozen. This product is made by Major Pharmaceuticals and the contact information with the website is provided. Rev. 01/24.*
UD Cup - Lacosamide Oral Solution CV 100 mg/10 mL - lacosamide oral solution 5
This is a description of a Lacosamide oral solution product manufactured by Major Pharmaceuticals. It contains 10 mL and is intended for institutional use only. The National Drug Code (NDC) for this product is 0904-7464-66.*
* 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.
