Product Images Geri-tussin

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Product Label Images

The following image provide visual information about the product associated with Geri-tussin NDC 57896-293 by Geri-care Pharmaceuticals, Corp, 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.

Principal Display Panel - geritussinPDL

Principal Display Panel - geritussinPDL

This is a description for Geri Care Guaifenesin Expectorant. It is a nonprescription drug used to help loosen phlegm and thin bronchial secretions to make coughs more productive. It is comparable to the active ingredient in original Robitussin. It is sugar-free and alcohol-free. Each bottle contains 16 fl oz (473 mL). The active ingredient in each 10 mL (2 teaspoonfuls) is Guaifenesin, USP 200mg. It is important to read and follow the drug facts and directions carefully. The product should not be used if there is a known allergic reaction to any of the ingredients. It is advisable to consult a doctor before use if there is a cough with excessive phlegm, a persistent cough, or if pregnant or breastfeeding. Use should be discontinued and a doctor should be consulted if the cough lasts more than 7 days, comes back, or is accompanied by fever, rash, or persistent headache. The recommended dosage should not be exceeded, and it is important to keep the product out of reach of children. The product should be stored at room temperature and protected from freezing and light. Inactive ingredients include cherry flavor, citric acid, menthol, methylparaben, propylene glycol, propylparaben, purified water, sodium citrate, and sucralose. For any questions or comments, a toll-free number is provided. It is distributed by Geri-Care Pharmaceuticals Corp. This product is not manufactured or distributed by the owner of the registered trademark of Robitussin. The product has a lot number and expiration date.*

* 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.