Product Images Goyescas Broncovac 3 Cough And Cold

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Product Label Images

The following 2 images provide visual information about the product associated with Goyescas Broncovac 3 Cough And Cold NDC 11856-0025 by Goyescas Of Fla, 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.

Carton - Goyescas Broncovac 3 6 Oz. Carton 001

Carton - Goyescas Broncovac 3 6 Oz. Carton 001

Broncovac is a cough and cold medication containing Dextromethorphan HBr, Guaitenesin, and Phenylephrine HCI. It's used to loosen phlegm and thin bronchial secretions to help with nasal congestion and cough due to minor throat and bronchia irritation. The medication is free of alcohol and contains bee honey, ginger, and echinacea. The dosage and directions depend on age and should be followed as directed by a doctor. It is important to read the warnings before use and keep it out of reach of children. The inactive ingredients include glycerin, purified water, and sucralose. The medication comes in a bottle size of 6 fl. onz. and it is distributed by Goyescas Corp.*

Label - Goyescas Broncovac 3 6 Oz. Label 001

Label - Goyescas Broncovac 3 6 Oz. Label 001

This is a drug facts label for a cold and cough expectorant. It includes the active ingredients and their purposes, which are dextromethorphan HBr USP (10mg), guaifenesin USP (100mg), and phenylephrine HCI USP (5mg). This expectorant can help with symptoms such as cough, nasal congestion, and bronchial irritation by loosening phlegm and thinning bronchial secretions to help drain bronchial tubes. There are warnings to not use this medicine with certain drugs used for depression, emotional conditions, Parkinson's disease, or up to two weeks after stopping (MAOI) drugs. The directions for dosage depend on age and are provided on the label, along with a list of inactive ingredients.*

* 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.