K173681 · Pear Therapeutics, Inc. · PWE · Dec 10, 2018 · Neurology
Device Facts
Record ID
K173681
Device Name
reSET-O
Applicant
Pear Therapeutics, Inc.
Product Code
PWE · Neurology
Decision Date
Dec 10, 2018
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 882.5801
Device Class
Class 2
Attributes
Software as a Medical Device, Therapeutic
Indications for Use
reSET-O™ is intended to increase retention of patients with opioid use disorder (OUD) in outpatient treatment by providing cognitive behavioral therapy, as an adjunct to outpatient treatment that includes transmucosal buprenorphine and contingency management, for patients 18 years or older who are currently under the supervision of a clinician. reSET-O is indicated as a prescription-only digital therapeutic.
Device Story
reSET-O is a 12-week prescription digital therapeutic for Opioid Use Disorder (OUD); delivers cognitive behavioral therapy (CBT) via interactive lessons (text, audio, video, animations, graphics) based on Community Reinforcement Approach (CRA). Used in outpatient settings; patient-facing mobile app and clinician-facing web platform. Patients use app to complete lessons, self-report cravings, triggers, and buprenorphine use. Clinicians access reports to monitor patient status and facilitate communication between visits. Device reinforces buprenorphine adherence; intended to increase treatment retention. Benefits include improved engagement with standard-of-care outpatient programs.
Clinical Evidence
Randomized clinical trial (NCT00929253) of 170 patients with OUD. Patients randomized to 12 weeks of Treatment as Usual (TAU) or TAU plus Therapeutic Educational System (TES). TAU included buprenorphine, urine testing, contingency management, and bi-weekly clinician visits. Primary endpoint: treatment retention (dropout rate). Results: TES group dropout rate 17.6% vs. 31.6% in TAU group (p=0.0224). No significant difference in adverse event rates between groups. Abstinence improvement was not established as clinically significant.
Technological Characteristics
Prescription digital therapeutic; patient-facing mobile application and clinician-facing web/PC platform. Delivers CBT content via text, audio, video, and animations. Operates as an adjunct to standard-of-care outpatient treatment including buprenorphine and contingency management. Software-based; no specific hardware materials or energy sources defined beyond mobile/PC hardware requirements.
Indications for Use
Indicated for patients 18+ with opioid use disorder (OUD) currently in outpatient treatment under clinician supervision, as an adjunct to transmucosal buprenorphine and contingency management.
Regulatory Classification
Identification
A computerized behavioral therapy device for psychiatric disorders is a prescription only device intended to provide a computerized version of condition-specific behavioral therapy as an adjunct to clinician supervised outpatient treatment to patients with psychiatric conditions. The digital therapy is intended to provide patients access to therapy tools used during treatment sessions to improve recognized treatment outcomes.
Special Controls
*Classification.* Class II (special controls). The special controls for this device are:(1) Clinical data must be provided to fulfill the following:
(i) Describe a validated model of behavioral therapy for the psychiatric disorder; and
(ii) Validate the model of behavioral therapy as implemented by the device.
(2) Software must be described in detail in the software requirements specification (SRS) and software design specification (SDS). Software verification, validation, and hazard analysis must be performed. Software documentation must demonstrate that the device effectively implements the behavioral therapy model.
(3) The following labeling must be provided:
(i) Patient and physician labeling must include instructions for use, including images that demonstrate how to interact with the device.
(ii) Patient and physician labeling must list compatible devices.
(iii) Patient and physician labeling must include a warning that the device is not intended for use as a standalone therapy.
(iv) Patient and physician labeling must include a warning that the device does not represent a substitution for the patient's medication.
(v) Physician labeling must include a summary of the clinical testing with the device.
{0}------------------------------------------------
May 23, 2019
Image /page/0/Picture/1 description: The image shows the logo of the U.S. Food and Drug Administration (FDA). On the left is the Department of Health & Human Services logo. To the right of that is the FDA logo, which is a blue square with the letters "FDA" in white. To the right of the blue square is the text "U.S. FOOD & DRUG ADMINISTRATION" in blue.
Pear Therapeutics, Inc. Nandini Murthy Regulatory Consultant to Pear Therapeutics, Inc. 745 Atlantic Ave. Boston, Massachusetts 02111
## Re: K173681
Trade/Device Name: reSET-O Regulation Number: 21 CFR 882.5801 Regulation Name: Computerized behavioral therapy device for psychiatric disorders Regulatory Class: Class II Product Code: PWE Dated: August 21, 2019 Received: August 22, 2018
Dear Nandini Murthy:
This letter corrects our substantially equivalent letter of December 10, 2018.
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's
{1}------------------------------------------------
requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting of medical device-related adverse events) (21 CFR 803) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/CombinationProducts/GuidanceRegulatoryInformation/ucm597488.htm); good manufacturing practice requirements as set forth in the quality systems (OS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/) and CDRH Learn (http://www.fda.gov/Training/CDRHLearn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (http://www.fda.gov/DICE) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely.
Carlos Pena, PhD, MS Director OHT5: Office of Neurological and Physical Medicine Devices Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
{2}------------------------------------------------
# Indications for Use
510(k) Number (if known) K173681
Device Name reSET-O
Indications for Use (Describe)
reSET-O™ is intended to increase retention of patients with opioid use disorder (OUD) in outpatient treatment by providing cognitive behavioral therapy, as an adjunct to outpatient that includes transmucosal buprenorphine and contingency management, for patients 18 years or older who are currently under the supervision of a clinician. reSET-O is indicated as a prescription-only digital therapeutic.
Type of Use (Select one or both, as applicable)
| <span>☑ Prescription Use (Part 21 CFR 801 Subpart D)</span> |
|-------------------------------------------------------------|
| <span>☐ Over-The-Counter Use (21 CFR 801 Subpart C)</span> |
#### CONTINUE ON A SEPARATE PAGE IF NEEDED.
This section applies only to requirements of the Paperwork Reduction Act of 1995.
#### *DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.*
The burden time for this collection of information is estimated to average 79 hours per response, including the time to review instructions, search existing data sources, gather and maintain the data needed and complete and review the collection of information. Send comments regarding this burden estimate or any other aspect of this information collection, including suggestions for reducing this burden, to:
> Department of Health and Human Services Food and Drug Administration Office of Chief Information Officer Paperwork Reduction Act (PRA) Staff PRAStaff@fda.hhs.gov
"An agency may not conduct or sponsor, and a person is not required to respond to, a collection of information unless it displays a currently valid OMB number."
{3}------------------------------------------------
#### Appendix 2A. 510 (k) Summary [Clean Version]
#### Pear Therapeutics, Inc.
Traditional 510(k) Premarket Notification Submission - reSET-O
## 510(k) SUMMARY
| Submitter Name: | Pear Therapeutics, Inc. |
|----------------------------|------------------------------------------------------------------|
| Submitter Address: | 201 Mission St., San Francisco, CA 94710 |
| Contact Person: | Yuri Maricich |
| Phone Number: | (206) 369-9784 |
| Submission Correspondent: | David Amor |
| Phone Number: | (786) 546-1806 |
| Date Prepared: | November 19, 2018 |
| Device Trade Name: | reSET-O |
| Device Common Name: | Prescription Digital Therapeutic |
| Classification regulation: | 21 CFR 882.5801, Class II Product Code PWE |
| Predicate Device: | reSET, DEN160018 |
| Classification Name: | Computerized Behavioral Therapy Device for Psychiatric Disorders |
## Device Description:
reSET-O™ is a 12-week interval prescription digital therapeutic for Opioid Use Disorder (OUD). reSET-O™ is modeled on the Community Reinforcement Approach (CRA) and engineered to deliver behavioral therapy for patients with OUD. reSET-O™ delivers CRA therapy as a series of interactive therapy lessons. Each therapy lesson is comprised of a cognitive behavioral therapy component and skill building exercises. Therapy lesson content is delivered primarily via text or audio, and may include videos, animations and graphics.
reSET-O™ is intended as an adjunct to standard of care for patients with OUD. It is limited to persons with a valid prescription from their licensed provider. reSET-O™ supports clinician-patient communication between visits, by providing a means for patients to self-report cravings and triggers, and buprenorphine use/non-use. reSET-O™ reinforces the importance of using buprenorphine for treatment of OUD.
{4}------------------------------------------------
#### Pear Therapeutics, Inc.
Traditional 510(k) Premarket Notification Submission – reSET-O
## Indications for Use:
reSET-O™ is intended to increase retention of patients with opioid use disorder (OUD) in outpatient treatment by providing cognitive behavioral therapy, as an adjunct to outpatient treatment that includes transmucosal buprenorphine and contingency management, for patients 18 years or older who are currently under the supervision of a clinician. reSET-O is indicated as a prescription-only digital therapeutic.
#### Comparison of reSET-O versus predicate Rationale for Substantial Equivalence:
| Characteristics | reSET-O<br>K173681 | reSET (Predicate)<br>DEN160018 |
|---------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Product Code | 21 CFR 882.5801<br>PWE | 21 CFR 882.5801<br>PWE |
| Intended Use | Intended to increase retention in<br>patients with Opioid Use Disorder<br>(OUD) | Intended to increase abstinence<br>and retention in patients with<br>Substance Use Disorder (SUD) |
| Indications for Use | reSET-O™ is intended to<br>increase retention of patients with<br>opioid use disorder (OUD) in<br>outpatient treatment by providing<br>cognitive behavioral therapy, as<br>an adjunct to outpatient treatment<br>with transmucosal buprenorphine<br>and contingency management, for<br>patients 18 years or older who are<br>currently under the supervision of<br>a clinician. reSET-O is indicated<br>as a prescription-only digital<br>therapeutic. | reSET is intended to provide<br>cognitive behavioral therapy, as an<br>adjunct to a contingency<br>management system, for patients 18<br>years of age and older who are<br>currently enrolled in outpatient<br>treatment under the supervision of a<br>clinician. reSET is indicated as a 12<br>week (90 days) prescription-only<br>treatment for patients with<br>substance use disorder (SUD), who<br>are not currently on opioid<br>replacement therapy, who do not<br>abuse alcohol solely, or who do not<br>abuse opioids as their primary<br>substance of abuse. It is intended to:<br>increase abstinence from a<br>●<br>patient's substances of<br>abuse during treatment, and<br>increase retention in the<br>●<br>outpatient treatment<br>program. |
{5}------------------------------------------------
| Characteristics | reSET-O<br>K173681 | reSET (Predicate)<br>DEN160018 |
|---------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| System<br>components | Patient facing app, mobile device<br>platform<br>Clinician facing app, PC/web<br>platform | Patient facing app, mobile device<br>platform<br>Clinician facing app, PC/web<br>platform |
| Access | Rx only | Rx only |
| Users | Patients with an opioid use<br>disorder. | Patients with a substance use<br>disorder who are not currently on<br>opioid replacement therapy,<br>abuse alcohol solely or whose<br>primary substance of abuse is<br>opioids. |
| Contingency<br>Management | Yes | Yes |
| Adjunctive<br>application | Yes - to Treatment as Usual<br>(TAU), that includes<br>transmucosal buprenorphine in<br>addition to outpatient treatment<br>and contingency management | Yes - to Treatment as Usual<br>(TAU), that includes outpatient<br>treatment and contingency<br>management |
reSET-O™ and reSET® are both prescription devices, with similar application for use in an outpatient treatment program (standard of care). Retention in the program is a key goal in outpatient treatment for any substance use disorder. Both reSET and reSET-O are adjunctive to standard of care. The only difference with the standard of care for patients with OUD (reSET-O™) is that it includes pharmacotherapy (buprenorphine) along with outpatient treatment.
# Performance Data:
Bench data: The results of bench software verification and validation testing supports that reSET-O functions as intended.
Clinical data: reSET-O was validated to meet its intended use in a randomized clinical trial! (Clinical Trials identifier, NCT00929253). The study enrolled 170 patients seeking treatment for OUD. All study participants met DSM-IV criteria for opioid dependence
<sup>1</sup> Christensen DR, Landes RD, Jackson L, et al. Adding an Internet-delivered treatment to an efficacious treatment package for opioid dependence. J Consult Clin Psychol. 2014;82(6):964-972. doi:10.1037/a0037496
{6}------------------------------------------------
## Pear Therapeutics. Inc.
Traditional 510(k) Premarket Notification Submission - reSET-O
and qualified for buprenorphine treatment. Patients were randomized to 12-weeks of treatment as usual (TAU) or TAU plus (Therapeutic Educational System) TES. TAU included thrice-weekly in-person administration of buprenorphine treatment2, thriceweekly urine testing, contingency management system, and a face to face visit with a clinician every other week. The primary outcome was abstinence defined as the longest documented period of continuous abstinence from opioids and cocaine for each participant.
The results of the clinical study demonstrates that treatment dropout during the 12-week intervention was reduced in the TES group compared to the TAU group. The dropout rate in the TES group was 17.6% compared to 31.6% in the TAU group, with a p-yalue of 0.0224. This reduction in treatment dropout was significant.
Abstinence was evaluated for trend over 12 weeks in the three times a week Urine Drug Screen (UDS). The ability of reSET-O to improve abstinence has not been established as clinically significant.
Adverse events were collected and monitored throughout the study, and showed that there was no difference in AE rates between the TES and TAU groups.
## Conclusion:
reSET-O has similar indications statements as the predicate device. Both devices are used to provide computerized behavioral therapy to patients suffering from substance use disorder. Both devices are adjunctive to standard of care for patients, intended to provide and reinforce therapy delivered in outpatient treatment. Both devices include self-report features that allow the patient and clinician to recognize patterns related to substance use, triggers and cravings.
Preclinical software testing and pivotal clinical study results validate reSET-O towards its proposed intended use. Further, reSET-O met all of the Special controls per the requirements of the predicate (DEN160018).
Therefore, reSET-O is substantially equivalent to the predicate reSET device.
<sup>2</sup> Buprenorphine treatment consisted of buprenorphine/naloxone combination administered sublingually (4:1) ratio during the 12-week study
Predicate graph will load when search results are available.
Embedding visualization will load when search results are available.
PDF viewer will load when search results are available.
Loading panels...
Select an item from Submissions
Click any panel, subpart, regulation, product code, or device to see details here.
Section Matches
Results will appear here.
Product Code Matches
Results will appear here.
Special Control Matches
Results will appear here.
Loading collections...
Loading
My Alerts
You will receive email notifications based on the filters and frequency you set for each alert.
Sort by:
Create Alert
Search Filters
Agent Token
Create a read-only bearer token for Claude, ChatGPT, or other agents that can call HTTP APIs.
Copy this now. It will not be shown again.
Connected apps
Apps you authorized through browser sign-in. Disconnecting revokes their access immediately.
Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.