Robohbr Cough Suppressant Tablet
Product Images NDC 71598-100

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Robohbr Cough Suppressant (NDC 71598-100). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Dxm Pharmaceutical, 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.

FDA Label Image

Image Description (Image 1)

Image Description (Image 1)
This is the drug information for RoboCough Suppressant tablets containing 30mg of Dextromethorphan HBR as an active ingredient per tablet. The label warns not to use it without proper medical supervision. It is recommended for use in households with children. The drug facts are available by lifting the labeled portion of the package. The lot number is mentioned but the complete description of usage and possible side effects is not available.*
FDA Label Image

Image Description (Image 2)

Image Description (Image 2)
This text provides drug facts, including precautions and directions on how to use RoboCough, a cough suppressant medication manufactured by DXM Pharmaceuticals. It warns users not to exceed four tablets in a 24-hour period and that it is not meant for children under 12 years old. Patients are advised to ask a healthcare professional before using the product when pregnant or breastfeeding. Using RoboCough with certain medications, such as those treating depression, psychiatric, emotional conditions or Parkinson's disease, should be avoided. Users should stop taking the product and contact their doctor if they experience persistent coughs, fever, rash, or headaches. The medication's manufacturer's details and customer support are also provided.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.