Product Images Rimantalist

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Rimantalist NDC 68405-110 by Physician Therapeutics Llc, 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.

Lister V Label - ListerVLabel

Lister V Label - ListerVLabel

This is a set of directions and ingredients for a food supplement that is meant to be taken as 2 capsules four times daily in between meals or as directed by a physician. The ingredients include Hydrolyzed Whey Protein, Lecithin, Cinnamon, Echinacea, Grape Seed Extract, Green Tea Extract, L-Cysteine, and Cocoa. The food supplement contains no added sugar, starch, wheat, yeast, preservatives, or flavor. Other ingredients include Gelatin, cellulose, colloidal silicon dioxide, and titanium dioxide. The purpose of the product is for the dietary management of viral infection.*

Rimantadine Hydrochloride Formula - RimantadineHydrochlorideFormula

Rimantadine Hydrochloride Formula - RimantadineHydrochlorideFormula

RimantadineLabel - RimantadineLabel

RimantadineLabel - RimantadineLabel

RIMANTADINE HCL 100mg TABLET with lot number RMTO0GX manufactured by GLOBAL P. The expiration date is listed as 06M12. The medication NDC is 00115-1911-01 and is comparable to Flumadine. Take as directed by your Doctor or refer to the insert for dosage information. There are additional lots listed for FIMANTADINE HCL 100mg TABLET under different lot numbers.*

Rimantalist - Rimantalist

Rimantalist - Rimantalist

The text describes a medical product called Rimantalist, which is a combination of Lister-V capsules and Rimantadine tablets. The product is only available with a prescription from a physician and the packaging includes a warning against refills without the proper National Drug Code (NDC).*

* 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.