Product Images Max Tussin Mucus And Chest Congestion Sugar Free
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Product Label Images
The following 3 images provide visual information about the product associated with Max Tussin Mucus And Chest Congestion Sugar Free NDC 71399-0024 by Akron Pharma Inc., 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.
118 - 118ml
236 - 236ml
This is a drug facts label for an adult product that helps loosen phlegm and thin bronchial secretions to make coughs more productive. The active ingredient is Guaifenesin, USP 200 mg. It is intended for adults and children 12 years and over, and should not be used in children under 12 years. It is an expectorant that helps relieve chest congestion. It is cherry flavored and alcohol-free. The product comes with a dosing cup and should not be refrigerated. It should not be used for more than 7 days. In case of overdose, it is recommended to seek medical help or contact a Poison Control Center right away. It is manufactured by Akron Pharma, Inc.*
473 - 473ml
MAX Mucus & Chest Congestion Expectorant is a cherry flavored and non-drowsy solution to relieve mucus and chest congestion. It contains Guaifenesin, USP 200 mg which is an expectorant that helps loosen phlegm and bronchial secretions to make coughs more productive. This product is gluten-free, dye-free, alcohol-free, and suitable for individuals aged two or older. To avoid tampering, do not use if the foil seal over the bottle opening is broken, torn, or missing. In case of overdose, seek immediate medical help or contact a Poison Control Center right away. If you have a cough that lasts for over 7 days, or if your cough is accompanied by a fever, rash, or persistent headache, stop using and consult with a doctor. Before use ask a doctor if you have a cough that occurs with excessive phlegm or if you have a chronic cough.*
* 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.
