Product Images Sanaflu Xtra

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Sanaflu Xtra NDC 48201-001 by Grandall Distributing, 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.

box - box

box - box

drug facts panel 1 - drug facts1

drug facts panel 1 - drug facts1

This is a drug facts label with active ingredients of Acetaminophen, Chlorpheniamine meleate, Dextromethorphan HBr, and Phenylephrine HC1. The product is a temporary relief for minor aches and pains, headache, runny nose, sneezing, nasal congestion, hay fever or other respiratory allergies, itching of the nose or throat, and cough due to minor throat and bronchial irritation. There are warnings about the product containing acetaminophen and the potential for severe liver damage if consumption exceeds 4,000 mg within 24 hours. The product should not be used with other drugs containing acetaminophen, prescription, or non-prescription. Additionally, if the user is taking a prescription monoamine oxidase inhibitor for depression, psychiatric or emotional conditions, or Parkinson's disease, they should not take this product.*

drug facts panel 2 - drug facts2

drug facts panel 2 - drug facts2

This is a drug facts sheet that provides instructions and warnings for using the medication. It advises consulting with a doctor before using the medication if the patient has certain medical conditions or taking certain drugs. It warns about possible side effects, including drowsiness, nervousness, dizziness, and sleeplessness. It provides directions for using the medication, specifying the dosage and frequency of use. The sheet also provides information about inactive ingredients and how to store the medication.*

* 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.