Product Images Cyclo/gaba 10/300 Pack

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Cyclo/gaba 10/300 Pack NDC 69176-100 by Tmig 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.

cyclo - Cyclo10 90Final

cyclo - Cyclo10 90Final

This is a prescription medication of Cyclobenzaprine Hydrochloride USP, containing 10mg per tablet, packaged by EPM Packaging Inc. and distributed by TMIG Inc. The tablets should be stored at room temperature (68-77°F) and kept out of reach of children. The NDC number is 69176-300-90, and it is RX only. For proper dosage and use, refer to the package insert or consult a pharmacist. It is manufactured by Watson Laboratories Inc. located in Corona, CA.*

gaba90 - Gaba300 90final

gaba90 - Gaba300 90final

Store gabapentin capsules at room temperature (68-77°F) and keep them out of reach of children. For dosage and use instructions, refer to the package insert. These capsules, each containing 300mg of Gabapentin, are only available with a prescription. They are packaged by EPM Packaging Inc. in Lexington, NE and distributed by TMIG Inc. in Marietta, GA. The manufacturer is Alkem Laboratories Limited in Mumbai, India. The NDC number for these capsules is 69176-200-90. Pharmacists should dispense the enclosed medication guide to each patient.*

box - box front and top

box - box front and top

This text is a medication label. The medication's National Drug Code (NDC) is 69176-100-02. The pharmacist is instructed to give the patient any patient information leaflets provided. It is advised to store the medication in a cool, dry place at 25 degrees Celsius (77 degrees Fahrenheit). There is a warning to keep the medication out of reach of children. The text also mentions a copyright belonging to TMIG Inc in the year 2016.*

* 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.