Five dimensions, a pentagon, each feeding the next in a cyclical flow. Signals move inward: from the individual, through community, into health systems, generating research evidence, informing government. And they flow outward: from the hub back to each entity through locked governance flows: alerts, advisories, data access, and policy intelligence, all calibrated by tier. The cycle is continuous. Each vertex feeds the next and receives from the hub.
Government's role is a reporting mechanism for harm reduction. Not a tool to attack community. The governance locks ensure that what flows out respects the same hierarchy as what flows in. Distribution follows community governance: RSS feeds, tiered APIs, and direct alerts carry information to the right audience at the right level.
"A common focus on preventing and minimizing drug-related harms, rather than pursuing other agendas, such as prosecuting drug laws."
Siefried et al., Frontiers in Public Health, 2025
The person who uses drugs is the first detector of supply changes. "People who use drugs have long demonstrated care for each other and play a vital role in alerting each other to concerns regarding drug supply."
Freestone, Broadbent et al., 2025AIVL as the national peak body, with state and territory member organisations (NUAA, Harm Reduction Victoria, PBHRWA, and others) as the federated network. Community isn't consulted. Community governs. "People with lived and living experience of drug use" hold structural authority. Information flows between organisations via RSS feeds and shared alert channels, ensuring every jurisdiction stays connected without surrendering sovereignty.
Siefried et al., Frontiers in Public Health, 2025AOD services, clinicians, and drug checking services form the clinical response layer. Co-located with community. CheQpoint peer-staffed within QuIHN needle/syringe programme. Health responds to community signal, not the other way around.
Puljević et al., Drug and Alcohol Review, 2025Evidence synthesis and pattern detection. The PRN co-design identified the need for a "national drug signal database and an anecdotal reporting system", giving people the opportunity to safely and anonymously report observations of new trends, harms or other concerns.
Siefried et al., Frontiers in Public Health, 2025Government receives harm reduction intelligence as a reporting mechanism: informed policy response, not enforcement. Justice has its own systems for other dimensions of mental health and drug policy. For harm reduction, the flow is specific: government is the recipient of community intelligence, not the originator.
Broadbent et al., Evidence Brief: Governance and Collaboration, 2023A federated national platform for drug harm reduction. Connecting alerts, data, research, and community across jurisdictions under peer-led cyclical governance. AIVL as the national peak body and community voice. ADF as a family connection and ally. RSS feeds as the connective tissue between sector stakeholders. Mental health and suicide prevention as a natural crossover, not an afterthought.
A research centre. A surveillance system. An extension of any existing institutional infrastructure. A replacement for state systems. A justice tool.
What the Hub delivers, and why clear governance makes agile delivery possible.
The first known peer-led national harm reduction information system globally. Lived experience doesn't advise the system. It governs the system. Community voice is structural, not consultative.
New national and state-level peer-led reporting mechanisms. Facilitated reporting for DOHAC and other funding bodies. The hub produces the evidence funders need, governed by the community that generates it.
First known appearance of novel psychoactive substances (NPS) tracked nationally. Multi-name, poly-drug, alias matching. When a new substance appears in Australia, the hub knows first, because the community knows first.
The governance architecture is already planned. When governance is clear and locked, delivery is fast. No ambiguity about who decides, who accesses, who reports. The pentagon flow is the delivery architecture.
The Hub does not replace health infrastructure. It works in parallel. Peers and community organisations generate and curate frontline intelligence (the Anecdotal system, co-designed within the PRN, is the operational example). In the pentagon model, community signal passes to health practitioners who know how to interpret clinical risk. Health then decides whether to issue its own alerts and controls its own systems. The intelligence function and the clinical response function are structurally separate. This addresses the concern that community governance might compromise clinical rigour: it doesn't, because health retains its own authority.
Not everyone sees the same data. AIVL sees peer intelligence. ADF sees family-relevant alerts. Forums and Discord get community signal. Government gets policy-level reporting. Health gets clinical data. Each feed calibrated to role and need.
The crossover between drug harm reduction and mental health is well-documented and operational, not theoretical. The same RSS infrastructure that distributes drug alerts can carry mental health context to AOD workers, and AOD signal intelligence to mental health services. Suicide prevention, dual diagnosis, and youth mental health are natural extensions of peer-led harm reduction intelligence, because the people experiencing drug-related harm are often the same people navigating mental health crises.
Australia has Mindframe guidelines for responsible media reporting on suicide and mental health, developed by Everymind. No equivalent exists for alcohol and other drugs. The Hub's tiered alert system creates the operational infrastructure, but the sector also needs nationally agreed communication guidelines for AOD reporting: language standards, alert framing, reducing stigma in public drug warnings, and ensuring lived experience informs how drug information reaches communities. A co-authored guideline with Everymind/Mindframe for AOD would be a natural and necessary complement to the Hub's technical architecture.
The Hub distributes intelligence via RSS feeds: machine-readable, subscribable, and interoperable. Any organisation, from a peer network to a PHN to a mental health service, can subscribe to filtered feeds calibrated to their role. This builds on the same RSS-based approach that significantly expanded The Know's reach across the sector. RSS means the Hub doesn't need every stakeholder on the same platform. It meets them where they are.
This architecture isn't speculative. It's grounded in published, peer-reviewed research, including work Ed Broadbent co-authored.
Codifies evidence-based practices for drug warning design across Australia. Establishes that people who use drugs must be included at all stages of issuing a public drug warning.
UNSW Sydney, 2025 · Open AccessEstablishes Australia's first national public-health-focused mechanism for intersectoral information exchange on emerging drugs. Co-designed with AIVL, NUAA, HRV, PBHRWA, and Pill Testing Australia. Identifies need for national drug signal database and anecdotal reporting system.
Frontiers in Public Health, June 2025 · DOI: 10.3389/fpubh.2025.1521911Whole-of-government governance framework. All levels of government and all portfolios working together on integrated policies and programs. The cross-portfolio coordination principles informed the Hub's cyclical governance model, which extends them into peer-led, community-governed territory.
University of Melbourne, 2023 · DOI: 10.26188/24241138Australia's first nationally coordinated, public-health-focused drug alert reports. Compiles drug alerts issued across all Australian jurisdictions via TheKnow.org.au. Now published quarterly through the Prompt Response Network.
NCCRED / UNSW · Open Access · Now quarterlyRecent research across 7 domains independently validates the Hub's architecture. No single paper proposes the whole system. But taken together, they describe exactly what needs to be built.
EU Early Warning System (EUDA), DIMS (Netherlands, since 1992), TEDI (20 NGOs, 13 countries), WEDINOS (Wales): all place governance with government or research institutions. Peers serve in advisory or staffing roles, never governance. A peer-governed Hub would be the first. However, analogous community-led monitoring (CLM) frameworks in HIV/TB services (UNAIDS, 2022; INPUD, 2023) demonstrate that structural community leadership of monitoring cycles produces measurable gains in trust, timeliness, and service access, providing instructive precedent for the Hub model.
Freestone, Zhou, Kypri et al. studied 20 Australian EWS practitioners + 14 peer-org staff. Established that community reporting should be led by PWUD, open to benefits and harms, robustly moderated, and used to inform diverse communications, rather than flattened into undifferentiated alerts. These principles are the governance foundations for scaling a peer-led signal system. They define who leads, how signal quality is maintained, how scope stays broad, and how outputs are calibrated to different audiences. This paper provides direct precedent for the Hub's tiered architecture and the Anecdotal system now in co-design within the PRN.
Freestone, Zhou, Kypri et al. (2026) established five governance principles for incorporating experiential reports into early warning systems. Each maps directly to a structural element of the Hub.
Volpe, Brien, Grigg et al. found practitioners experience alert fatigue from undifferentiated drug warnings. Called for mechanisms to target alerts to relevant audiences, by information type, drug type, or role. The Hub's tiered feeds are evidence-based, not arbitrary.
EDNA researchers found that current monitoring modalities in Australia (surveys, wastewater monitoring, coronial investigations) lack the specificity and responsiveness required for an effective early warning system. Community reporting fills the speed gap.
Collaboration between drug checking services and academia identified a never-before-seen nitazene analogue in street drugs within 14 days. The study found that universities provide the scientific expertise and infrastructure necessary to confirm molecules detected by drug checking services. The Hub systematises this collaboration at national scale.
Wastewater-based epidemiology research demonstrates that sewage monitoring algorithms can provide days of early warning before overdose spikes are detected by health systems. Combined with community signal (near-instantaneous), the Hub extends warning windows further. Data triangulation research confirms that combining multiple data sources reveals findings that any single dataset would miss.
Study participants at Headspace didn't know AOD services existed. Practitioners reported limited AOD knowledge and low confidence. The Hub's intelligence feed to mental health and allied health settings addresses a documented, dangerous gap. An RSS feed from the Hub to Headspace centres alone would connect youth mental health workers to real-time drug harm intelligence they currently don't receive.
Everymind's Mindframe guidelines set the standard for responsible media reporting on suicide and mental health. The AOD sector has no nationally agreed communication guidelines for drug warnings, alert framing, or public messaging about substance use. Current drug alerts vary wildly in language, tone, and stigma awareness across jurisdictions. The Hub creates the technical infrastructure for coordinated alerts, but co-authored AOD communication guidelines with Everymind/Mindframe would ensure those alerts meet the same evidence-based standards that suicide prevention messaging already does.
The PRN co-design documented that "delays in detection and response within public-health frameworks focused on harm reduction have contributed to stigmatizing and alarmist media responses." When governance is unclear, media panic fills the void. Clear Hub governance = faster, more accurate response.
This concept is grounded in the PRN's published co-design framework and AIVL's stated governance positions. The author's role managing the PRN (2024–2025) provided direct experience of the structural dynamics this architecture addresses.
AIVL held a governance role within the PRN's advisory structure, consistent with the co-design framework documented in Siefried et al. (2025). Community voice held structural authority in the network from the start.
The Know's drug alert distribution infrastructure, maintained by AIVL, demonstrated the power of RSS-based dissemination to reach sector stakeholders at scale. That network extended through ADF, Pill Testing Australia, and other partner organisations, creating the distribution model this Hub's architecture builds on.
The author is a named contributor on publications cited throughout this concept (Freestone et al., 2025; Kypri et al., 2025a, 2025b), providing direct familiarity with the evidence for community governance of drug monitoring infrastructure.
Early engagement with AIVL on this concept was positive, though sustained collaboration requires the kind of resourcing that peer organisations, operating on project funding with limited capacity, rarely have. The architecture centres AIVL's published positions on community governance.
Seven data streams converging into a single harm reduction intelligence picture. Each feed has different cadence, format, and reliability. The hub normalises and correlates them.
Integration of The Know RSS feed, state health alerts, AIVL bulletins, and Prompt Response Network Drug Alert Reports into a real-time, jurisdiction-aware interface.
Purpose-built for tracking novel psychoactive substances (NPS) and poly-drug use. Multiple-name/alias entry, poly-drug combinations as first-class fields, frontline-optimised data entry.
Population-level drug consumption patterns from sewage monitoring. ACIC National Wastewater Drug Monitoring Program data: geographic, time-series, quantitative. No individual attribution.
Sample-level substance composition from drug checking services: CanTEST (ACT), DanceWize (VIC), NUAA mobile (NSW trial). Identifies adulterants, potency, and novel compounds.
National toxicosurveillance system. 16 emergency departments across 6 states reporting illicit and emerging drug presentations, clinical effects, treatment approaches and outcomes. NCCRED seed-funded, NHMRC Ideas Grant (5-year). Emergency physicians, toxicologists, forensic labs, and poisons information centres.
Published studies, preprints, grey literature, and collaboration index. Academics plug into the platform; they do not govern it. Research is a supported output, not the driver.
Experiential reporting from peer networks, including the Anecdotal community drug reporting system currently being co-designed within the PRN (Freestone, Zhou, Kypri et al., 2026). Peers report observations about drug trends, effects, and emerging concerns in real time. Consumer organisations triage reports and determine when to communicate risk externally. Operates in parallel with clinical and forensic data streams. Peer networks generate frontline intelligence at community speed, while health services retain authority over their own clinical alerts.
Federated access to treatment data systems (including NADAbase) and equivalent state/territory infrastructure. 80+ member organisations, NSW MDS (44 items), COMS outcome measures. Interoperability without centralisation or replacement. View Treatment Data Snapshot →
No single feed tells the whole story. When multiple independent data sources converge on the same substance, region, or time window, that's a composite signal. The hub makes convergence visible.
5 independent feeds converging on nitazene-class synthetic opioids in Western Sydney within a 7-day window. No single feed generated this picture. The composite signal is visible only because the hub correlates across sources.
Recommended action: National-level alert via Prompt Response Network. Targeted harm reduction messaging to Western Sydney AOD services. Naloxone distribution advisory (standard doses may be insufficient for nitazene exposure).
Access to platform data is calibrated to role and accountability. The public tier is deliberate: harm reduction information should be universally accessible without requiring identity disclosure.
CheQpoint research (Puljević et al.) showed participants were "highly motivated to use drug checking" and would "employ more harm reduction strategies following an unexpected test result." Peers submit samples. Peers see results. Not locked behind clinical tiers.
Freestone, Zhou, Kypri et al. (Jan 2026): "Such systems must be underpinned by strong governance, remain open to collecting reports of benefits plus harms and be led by communities." The Anecdotal system being co-designed within the PRN is a peer-tier function: community-governed, anonymous, accessible. Peer networks generate and curate frontline intelligence; health services receive that signal and decide independently how to respond through their own clinical systems.
Data justice framework (Buchbinder et al.): "Empowering stakeholders to participate in the design and implementation of data infrastructure and governance is critical for advancing a data justice agenda." Research access is granted by AIVL governance, not assumed by institutional affiliation.
PRN co-design: "A common focus on preventing and minimizing drug-related harms, rather than pursuing other agendas." Policy tier gets facilitated reporting: jurisdictional analytics, not individual records. The hub reports to government; government does not surveil through the hub.
The Queensland ban demonstrates the fragility of state-level service provision. A federated platform with community governance creates resilience against politically-motivated withdrawal.
Working prototypes demonstrating Harm Reduction Hub component architecture.
National Signal Register prototype: 17 signals across 8 jurisdictions, drug alerts integration, governance layer, signal entry wizard.
Open Signal Register →Treatment data presentation: COMS outcomes, demographic analysis, data quality heatmaps, data completeness funnel. Modelled on published treatment system parameters.
Open Treatment Data View →The Harm Reduction Hub is a concept ready for co-design. If you're from AIVL, ADF, a peer organisation, health service, or government body interested in community-governed harm reduction infrastructure? Let's talk.