Product Images Stona Cough

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with Stona Cough NDC 49873-302 by Sato Pharmaceutical Co., Ltd., 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, panels 1, 2 - stonacoughsyrcartA

Carton, panels 1, 2 - stonacoughsyrcartA

This is a drug information for Stona, a cough suppressant and expectorant. It contains Dextromethorphan Hydrobromide and Guaifenesin, which help to temporarily relieve cough due to the common cold and make cough more productive. However, the product should not be used if the imprinted seal around the neck of the bottle is missing or broken or for persistent or chronic cough such as occurs with smoking, asthma, or emphysema. In case of overdose, medical help or contact a Poison Control Center should be obtained right away. The product has inactive ingredients such as alcohol, calcium chloride, and flavors. The product comes with a measuring cup and a maximum of 30mL should be taken in 24 hours, as directed by a doctor. The product also has specific warnings and precautions about its use during pregnancy and breastfeeding. This product is distributed by Sato Pharmaceutical Inc./USA.*

Carton, panels 3, 4 - stonacoughsyrcartB

Carton, panels 3, 4 - stonacoughsyrcartB

Stona cough syrup is a medicine that acts like an expectorant and cough suppressant. It comes with a measuring cup and can be opened by pushing down the cap. Users must turn the cap counterclockwise to open the bottle. After use, the cap must be tightly fastened on the bottle. There is some information in non-English characters, but the description contains no other relevant information. The manufacturer's address is also provided to report any serious side effects.*

* 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.