Product Images Senna

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Product Label Images

The following 2 images provide visual information about the product associated with Senna NDC 69618-064 by Reliable 1 Laboratories Llc, 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.

New Senna 8.6mg Label - New Senna 8.6mg Label

New Senna 8.6mg Label - New Senna 8.6mg Label

This is a drug label for a natural vegetable laxative tablet containing 8.6 mg of sennosides. It is used to relieve occasional constipation or irregularity and can generally produce bowel movements within 6-12 hours. It includes dosage information for different age groups as well as warnings against prolonged use, sudden changes in bowel habits, rectal bleeding or failure to have a bowel movement after use. The label also advises pregnant or breastfeeding women to consult a doctor before use and to keep the product out of reach of children.*

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This is a description for a laxative drug that is presented in a tamper-evident container. The drug is intended for occasional relief of constipation, and provides bowel movement within 6 to 12 hours. The container carries warnings against using the drug for longer than a week without a doctor's direction, and for consulting a doctor if stomach pain, nausea or vomiting occur during use. The drug must be kept away from children and in case of overdose or if printed safety seal is broken, professional medical attention should be sought promptly. The product comes in a pack of 100 tablets and the dosage should be as directed by a doctor, and should not exceed four tablets a day for children aged 6-12 years or two tablets per day for children aged 2-6 years. The drug contains 8.6mg of sennosides and is a natural vegetable laxative. There is additional information about inactive ingredients and storage requirements.*

* 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.