Product Images Guaifenesin And Dextromethorphan Hydrobromide
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 2 images provide visual information about the product associated with Guaifenesin And Dextromethorphan Hydrobromide NDC 83720-501 by Oncor 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.
Guaifenesin and Dextromethorphan 16oz - Guaifenesin and Dextromethorphan 16oz
This is a drug information label for a pharmaceutical product containing Guaifenesin and Dextromethorphan hydrobromide syrup, which is an expectorant and cough suppressant indicated for individuals aged 12 years and above. The syrup is non-drowsy and alcohol-free with a cherry flavor. The label provides information on active ingredients, usage, warnings, potential side effects, dosage directions, inactive ingredients, storage instructions, and contact details for reporting side effects or seeking help in case of an accidental overdose. The product is manufactured in the USA for Oncor Pharmaceuticals.*
Guaifenesin and Dextromethorphan 8oz - Guaifenesin and Dextromethorphan 8oz
This is a label for a Guaifenesin and Dextromethorphan hydrobromide syrup with cherry flavor. It is an expectorant cough suppressant that is non-drowsy and alcohol-free. Recommended for ages 12 and up, the active ingredients are Dextromethorphan Hydrobromide 10 mg and Guaifenesin 100 mg per 5 ml. The syrup helps relieve coughs due to minor bronchial and throat irritations caused by cold or inhaled irritants, and helps with coughing to aid sleep. It provides dosage instructions for adults and children 12 years and over, children 6 to under 12 years, and children under 6 years old. The label also includes warnings, directions, and information about consulting a physician before use in certain situations.*
* 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.
